From 39b307153ae5633a0a77a1ebc5184682b81b0d84 Mon Sep 17 00:00:00 2001
From: Will Schroeder <will.schroeder@kitware.com>
Date: Mon, 19 Sep 2016 14:30:21 -0400
Subject: [PATCH] Move vtkPointCloud remote to Filters/Points
Added a number of filters for processing point clouds. The files
originally came from the vtkPointCloud remote module.
---
Filters/Points/CMakeLists.txt | 18 +-
.../TestEuclideanClusterExtraction.png.md5 | 1 +
.../TestEuclideanClusterExtraction2.png.md5 | 1 +
.../TestEuclideanClusterExtraction2_1.png.md5 | 1 +
.../TestEuclideanClusterExtraction_1.png.md5 | 1 +
.../TestEuclideanClusterExtraction_2.png.md5 | 1 +
.../Data/Baseline/TestExtractPoints.png.md5 | 1 +
.../Data/Baseline/TestExtractPoints_1.png.md5 | 1 +
.../Baseline/TestFitImplicitFunction.png.md5 | 1 +
.../TestFitImplicitFunction_1.png.md5 | 1 +
.../TestHierarchicalBinningFilter.png.md5 | 1 +
.../TestHierarchicalBinningFilter_1.png.md5 | 1 +
.../TestHierarchicalBinningFilter_2.png.md5 | 1 +
.../TestPCACurvatureEstimation.png.md5 | 1 +
.../TestPCACurvatureEstimation2.png.md5 | 1 +
.../TestPCACurvatureEstimation_1.png.md5 | 1 +
.../Baseline/TestPCANormalEstimation.png.md5 | 1 +
.../Baseline/TestPCANormalEstimation2.png.md5 | 1 +
.../TestPCANormalEstimation2_1.png.md5 | 1 +
.../TestPCANormalEstimation2_2.png.md5 | 1 +
.../TestPCANormalEstimation_1.png.md5 | 1 +
.../TestPCANormalEstimation_2.png.md5 | 1 +
.../Baseline/TestRadiusOutlierRemoval.png.md5 | 1 +
.../TestRadiusOutlierRemoval_1.png.md5 | 1 +
.../TestRadiusOutlierRemoval_2.png.md5 | 1 +
.../Baseline/TestSignedDistanceFilter.png.md5 | 1 +
.../TestSignedDistanceFilter_1.png.md5 | 1 +
.../TestStatisticalOutlierRemoval.png.md5 | 1 +
.../TestStatisticalOutlierRemoval_1.png.md5 | 1 +
.../TestStatisticalOutlierRemoval_2.png.md5 | 1 +
.../Data/Baseline/TestVoxelGridFilter.png.md5 | 1 +
.../Baseline/TestVoxelGridFilter_1.png.md5 | 1 +
.../Baseline/TestVoxelGridFilter_2.png.md5 | 1 +
.../Baseline/TestVoxelGridFilter_3.png.md5 | 1 +
Filters/Points/Testing/Python/CMakeLists.txt | 18 +
.../Python/TestEuclideanClusterExtraction.py | 96 ++
.../Python/TestEuclideanClusterExtraction2.py | 117 ++
.../Testing/Python/TestExtractPoints.py | 91 ++
.../Testing/Python/TestFitImplicitFunction.py | 92 ++
.../Python/TestHierarchicalBinningFilter.py | 115 ++
.../Python/TestPCACurvatureEstimation.py | 123 ++
.../Python/TestPCACurvatureEstimation2.py | 132 ++
.../Testing/Python/TestPCANormalEstimation.py | 116 ++
.../Python/TestPCANormalEstimation2.py | 115 ++
.../Python/TestRadiusOutlierRemoval.py | 120 ++
.../Python/TestSignedDistanceFilter.py | 128 ++
.../Python/TestStatisticalOutlierRemoval.py | 144 ++
.../Testing/Python/TestVoxelGridFilter.py | 112 ++
Filters/Points/vtkBoundedPointSource.cxx | 154 ++
Filters/Points/vtkBoundedPointSource.h | 98 ++
.../Points/vtkEuclideanClusterExtraction.cxx | 463 ++++++
.../Points/vtkEuclideanClusterExtraction.h | 233 +++
Filters/Points/vtkExtractHierarchicalBins.cxx | 102 ++
Filters/Points/vtkExtractHierarchicalBins.h | 102 ++
Filters/Points/vtkExtractPointCloudPiece.cxx | 137 ++
Filters/Points/vtkExtractPointCloudPiece.h | 61 +
Filters/Points/vtkExtractPoints.cxx | 140 ++
Filters/Points/vtkExtractPoints.h | 101 ++
Filters/Points/vtkExtractSurface.cxx | 1423 +++++++++++++++++
Filters/Points/vtkExtractSurface.h | 158 ++
Filters/Points/vtkFitImplicitFunction.cxx | 141 ++
Filters/Points/vtkFitImplicitFunction.h | 103 ++
.../Points/vtkHierarchicalBinningFilter.cxx | 922 +++++++++++
Filters/Points/vtkHierarchicalBinningFilter.h | 189 +++
Filters/Points/vtkPCACurvatureEstimation.cxx | 244 +++
Filters/Points/vtkPCACurvatureEstimation.h | 100 ++
Filters/Points/vtkPCANormalEstimation.cxx | 359 +++++
Filters/Points/vtkPCANormalEstimation.h | 156 ++
Filters/Points/vtkPointCloudFilter.cxx | 325 ++++
Filters/Points/vtkPointCloudFilter.h | 118 ++
Filters/Points/vtkRadiusOutlierRemoval.cxx | 152 ++
Filters/Points/vtkRadiusOutlierRemoval.h | 102 ++
Filters/Points/vtkSignedDistance.cxx | 466 ++++++
Filters/Points/vtkSignedDistance.h | 156 ++
.../Points/vtkStatisticalOutlierRemoval.cxx | 347 ++++
Filters/Points/vtkStatisticalOutlierRemoval.h | 123 ++
Filters/Points/vtkVoxelGrid.cxx | 299 ++++
Filters/Points/vtkVoxelGrid.h | 141 ++
Remote/point-cloud.remote.cmake | 10 -
79 files changed, 9184 insertions(+), 11 deletions(-)
create mode 100644 Filters/Points/Testing/Data/Baseline/TestEuclideanClusterExtraction.png.md5
create mode 100644 Filters/Points/Testing/Data/Baseline/TestEuclideanClusterExtraction2.png.md5
create mode 100644 Filters/Points/Testing/Data/Baseline/TestEuclideanClusterExtraction2_1.png.md5
create mode 100644 Filters/Points/Testing/Data/Baseline/TestEuclideanClusterExtraction_1.png.md5
create mode 100644 Filters/Points/Testing/Data/Baseline/TestEuclideanClusterExtraction_2.png.md5
create mode 100644 Filters/Points/Testing/Data/Baseline/TestExtractPoints.png.md5
create mode 100644 Filters/Points/Testing/Data/Baseline/TestExtractPoints_1.png.md5
create mode 100644 Filters/Points/Testing/Data/Baseline/TestFitImplicitFunction.png.md5
create mode 100644 Filters/Points/Testing/Data/Baseline/TestFitImplicitFunction_1.png.md5
create mode 100644 Filters/Points/Testing/Data/Baseline/TestHierarchicalBinningFilter.png.md5
create mode 100644 Filters/Points/Testing/Data/Baseline/TestHierarchicalBinningFilter_1.png.md5
create mode 100644 Filters/Points/Testing/Data/Baseline/TestHierarchicalBinningFilter_2.png.md5
create mode 100644 Filters/Points/Testing/Data/Baseline/TestPCACurvatureEstimation.png.md5
create mode 100644 Filters/Points/Testing/Data/Baseline/TestPCACurvatureEstimation2.png.md5
create mode 100644 Filters/Points/Testing/Data/Baseline/TestPCACurvatureEstimation_1.png.md5
create mode 100644 Filters/Points/Testing/Data/Baseline/TestPCANormalEstimation.png.md5
create mode 100644 Filters/Points/Testing/Data/Baseline/TestPCANormalEstimation2.png.md5
create mode 100644 Filters/Points/Testing/Data/Baseline/TestPCANormalEstimation2_1.png.md5
create mode 100644 Filters/Points/Testing/Data/Baseline/TestPCANormalEstimation2_2.png.md5
create mode 100644 Filters/Points/Testing/Data/Baseline/TestPCANormalEstimation_1.png.md5
create mode 100644 Filters/Points/Testing/Data/Baseline/TestPCANormalEstimation_2.png.md5
create mode 100644 Filters/Points/Testing/Data/Baseline/TestRadiusOutlierRemoval.png.md5
create mode 100644 Filters/Points/Testing/Data/Baseline/TestRadiusOutlierRemoval_1.png.md5
create mode 100644 Filters/Points/Testing/Data/Baseline/TestRadiusOutlierRemoval_2.png.md5
create mode 100644 Filters/Points/Testing/Data/Baseline/TestSignedDistanceFilter.png.md5
create mode 100644 Filters/Points/Testing/Data/Baseline/TestSignedDistanceFilter_1.png.md5
create mode 100644 Filters/Points/Testing/Data/Baseline/TestStatisticalOutlierRemoval.png.md5
create mode 100644 Filters/Points/Testing/Data/Baseline/TestStatisticalOutlierRemoval_1.png.md5
create mode 100644 Filters/Points/Testing/Data/Baseline/TestStatisticalOutlierRemoval_2.png.md5
create mode 100644 Filters/Points/Testing/Data/Baseline/TestVoxelGridFilter.png.md5
create mode 100644 Filters/Points/Testing/Data/Baseline/TestVoxelGridFilter_1.png.md5
create mode 100644 Filters/Points/Testing/Data/Baseline/TestVoxelGridFilter_2.png.md5
create mode 100644 Filters/Points/Testing/Data/Baseline/TestVoxelGridFilter_3.png.md5
create mode 100755 Filters/Points/Testing/Python/TestEuclideanClusterExtraction.py
create mode 100755 Filters/Points/Testing/Python/TestEuclideanClusterExtraction2.py
create mode 100755 Filters/Points/Testing/Python/TestExtractPoints.py
create mode 100755 Filters/Points/Testing/Python/TestFitImplicitFunction.py
create mode 100755 Filters/Points/Testing/Python/TestHierarchicalBinningFilter.py
create mode 100755 Filters/Points/Testing/Python/TestPCACurvatureEstimation.py
create mode 100755 Filters/Points/Testing/Python/TestPCACurvatureEstimation2.py
create mode 100755 Filters/Points/Testing/Python/TestPCANormalEstimation.py
create mode 100755 Filters/Points/Testing/Python/TestPCANormalEstimation2.py
create mode 100755 Filters/Points/Testing/Python/TestRadiusOutlierRemoval.py
create mode 100755 Filters/Points/Testing/Python/TestSignedDistanceFilter.py
create mode 100755 Filters/Points/Testing/Python/TestStatisticalOutlierRemoval.py
create mode 100755 Filters/Points/Testing/Python/TestVoxelGridFilter.py
create mode 100644 Filters/Points/vtkBoundedPointSource.cxx
create mode 100644 Filters/Points/vtkBoundedPointSource.h
create mode 100644 Filters/Points/vtkEuclideanClusterExtraction.cxx
create mode 100644 Filters/Points/vtkEuclideanClusterExtraction.h
create mode 100644 Filters/Points/vtkExtractHierarchicalBins.cxx
create mode 100644 Filters/Points/vtkExtractHierarchicalBins.h
create mode 100644 Filters/Points/vtkExtractPointCloudPiece.cxx
create mode 100644 Filters/Points/vtkExtractPointCloudPiece.h
create mode 100644 Filters/Points/vtkExtractPoints.cxx
create mode 100644 Filters/Points/vtkExtractPoints.h
create mode 100644 Filters/Points/vtkExtractSurface.cxx
create mode 100644 Filters/Points/vtkExtractSurface.h
create mode 100644 Filters/Points/vtkFitImplicitFunction.cxx
create mode 100644 Filters/Points/vtkFitImplicitFunction.h
create mode 100644 Filters/Points/vtkHierarchicalBinningFilter.cxx
create mode 100644 Filters/Points/vtkHierarchicalBinningFilter.h
create mode 100644 Filters/Points/vtkPCACurvatureEstimation.cxx
create mode 100644 Filters/Points/vtkPCACurvatureEstimation.h
create mode 100644 Filters/Points/vtkPCANormalEstimation.cxx
create mode 100644 Filters/Points/vtkPCANormalEstimation.h
create mode 100644 Filters/Points/vtkPointCloudFilter.cxx
create mode 100644 Filters/Points/vtkPointCloudFilter.h
create mode 100644 Filters/Points/vtkRadiusOutlierRemoval.cxx
create mode 100644 Filters/Points/vtkRadiusOutlierRemoval.h
create mode 100644 Filters/Points/vtkSignedDistance.cxx
create mode 100644 Filters/Points/vtkSignedDistance.h
create mode 100644 Filters/Points/vtkStatisticalOutlierRemoval.cxx
create mode 100644 Filters/Points/vtkStatisticalOutlierRemoval.h
create mode 100644 Filters/Points/vtkVoxelGrid.cxx
create mode 100644 Filters/Points/vtkVoxelGrid.h
delete mode 100644 Remote/point-cloud.remote.cmake
diff --git a/Filters/Points/CMakeLists.txt b/Filters/Points/CMakeLists.txt
index d7ccbb702c6..5d21c4994e0 100644
--- a/Filters/Points/CMakeLists.txt
+++ b/Filters/Points/CMakeLists.txt
@@ -1,25 +1,41 @@
set(Module_SRCS
+ vtkBoundedPointSource.cxx
vtkEllipsoidalGaussianKernel.cxx
+ vtkEuclideanClusterExtraction.cxx
+ vtkExtractHierarchicalBins.cxx
+ vtkExtractPointCloudPiece.cxx
+ vtkExtractPoints.cxx
+ vtkExtractSurface.cxx
+ vtkFitImplicitFunction.cxx
vtkGaussianKernel.cxx
vtkGeneralizedKernel.cxx
+ vtkHierarchicalBinningFilter.cxx
vtkInterpolationKernel.cxx
vtkLinearKernel.cxx
+ vtkPCACurvatureEstimation.cxx
+ vtkPCANormalEstimation.cxx
+ vtkPointCloudFilter.cxx
vtkPointInterpolator.cxx
vtkPointInterpolator2D.cxx
vtkProbabilisticVoronoiKernel.cxx
+ vtkRadiusOutlierRemoval.cxx
vtkSPHInterpolator.cxx
vtkSPHCubicKernel.cxx
vtkSPHKernel.cxx
vtkSPHQuarticKernel.cxx
vtkSPHQuinticKernel.cxx
vtkShepardKernel.cxx
- vtkWendlandQuinticKernel.cxx
+ vtkSignedDistance.cxx
+ vtkStatisticalOutlierRemoval.cxx
+ vtkVoxelGrid.cxx
vtkVoronoiKernel.cxx
+ vtkWendlandQuinticKernel.cxx
)
set_source_files_properties(
vtkGeneralizedKernel.cxx
vtkInterpolationKernel
+ vtkPointCloudFilter
ABSTRACT
)
diff --git a/Filters/Points/Testing/Data/Baseline/TestEuclideanClusterExtraction.png.md5 b/Filters/Points/Testing/Data/Baseline/TestEuclideanClusterExtraction.png.md5
new file mode 100644
index 00000000000..43fc95762b5
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestEuclideanClusterExtraction.png.md5
@@ -0,0 +1 @@
+23961f1382fdf6df7918940bf0e73bbd
diff --git a/Filters/Points/Testing/Data/Baseline/TestEuclideanClusterExtraction2.png.md5 b/Filters/Points/Testing/Data/Baseline/TestEuclideanClusterExtraction2.png.md5
new file mode 100644
index 00000000000..59e0e86c5a8
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestEuclideanClusterExtraction2.png.md5
@@ -0,0 +1 @@
+3174c28fc3324676cbf5074c553b9bf6
diff --git a/Filters/Points/Testing/Data/Baseline/TestEuclideanClusterExtraction2_1.png.md5 b/Filters/Points/Testing/Data/Baseline/TestEuclideanClusterExtraction2_1.png.md5
new file mode 100644
index 00000000000..b3f4e4fde4e
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestEuclideanClusterExtraction2_1.png.md5
@@ -0,0 +1 @@
+a65f2bce5e7812d47bb7f00c39538d55
diff --git a/Filters/Points/Testing/Data/Baseline/TestEuclideanClusterExtraction_1.png.md5 b/Filters/Points/Testing/Data/Baseline/TestEuclideanClusterExtraction_1.png.md5
new file mode 100644
index 00000000000..cad16606f05
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestEuclideanClusterExtraction_1.png.md5
@@ -0,0 +1 @@
+43ba4fd2cd361108383cc986eea311f1
diff --git a/Filters/Points/Testing/Data/Baseline/TestEuclideanClusterExtraction_2.png.md5 b/Filters/Points/Testing/Data/Baseline/TestEuclideanClusterExtraction_2.png.md5
new file mode 100644
index 00000000000..b292e4a1752
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestEuclideanClusterExtraction_2.png.md5
@@ -0,0 +1 @@
+3915fe2882fe6a9c68075166cd803cbd
diff --git a/Filters/Points/Testing/Data/Baseline/TestExtractPoints.png.md5 b/Filters/Points/Testing/Data/Baseline/TestExtractPoints.png.md5
new file mode 100644
index 00000000000..5eebc86ad4b
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestExtractPoints.png.md5
@@ -0,0 +1 @@
+5d1c2af24bf493178bbc00a94d3bbb4c
diff --git a/Filters/Points/Testing/Data/Baseline/TestExtractPoints_1.png.md5 b/Filters/Points/Testing/Data/Baseline/TestExtractPoints_1.png.md5
new file mode 100644
index 00000000000..d1b3dc60fe5
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestExtractPoints_1.png.md5
@@ -0,0 +1 @@
+655ccab43147a28b67712a2339ae7481
diff --git a/Filters/Points/Testing/Data/Baseline/TestFitImplicitFunction.png.md5 b/Filters/Points/Testing/Data/Baseline/TestFitImplicitFunction.png.md5
new file mode 100644
index 00000000000..05ce6201e22
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestFitImplicitFunction.png.md5
@@ -0,0 +1 @@
+e904feb0254e876ac9e3f1a0af547e6a
diff --git a/Filters/Points/Testing/Data/Baseline/TestFitImplicitFunction_1.png.md5 b/Filters/Points/Testing/Data/Baseline/TestFitImplicitFunction_1.png.md5
new file mode 100644
index 00000000000..20412321453
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestFitImplicitFunction_1.png.md5
@@ -0,0 +1 @@
+a3f524867365311f687e8cd7550f0d08
diff --git a/Filters/Points/Testing/Data/Baseline/TestHierarchicalBinningFilter.png.md5 b/Filters/Points/Testing/Data/Baseline/TestHierarchicalBinningFilter.png.md5
new file mode 100644
index 00000000000..425b605747e
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestHierarchicalBinningFilter.png.md5
@@ -0,0 +1 @@
+4e97477d4d5ddc530415ee35a86c5282
diff --git a/Filters/Points/Testing/Data/Baseline/TestHierarchicalBinningFilter_1.png.md5 b/Filters/Points/Testing/Data/Baseline/TestHierarchicalBinningFilter_1.png.md5
new file mode 100644
index 00000000000..48427fb187a
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestHierarchicalBinningFilter_1.png.md5
@@ -0,0 +1 @@
+3d653c1926584ada2454e0ef484c484d
diff --git a/Filters/Points/Testing/Data/Baseline/TestHierarchicalBinningFilter_2.png.md5 b/Filters/Points/Testing/Data/Baseline/TestHierarchicalBinningFilter_2.png.md5
new file mode 100644
index 00000000000..8d5f2b13d3f
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestHierarchicalBinningFilter_2.png.md5
@@ -0,0 +1 @@
+8b054573ae82aa3a993a51655f4ac797
diff --git a/Filters/Points/Testing/Data/Baseline/TestPCACurvatureEstimation.png.md5 b/Filters/Points/Testing/Data/Baseline/TestPCACurvatureEstimation.png.md5
new file mode 100644
index 00000000000..6af265a005e
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestPCACurvatureEstimation.png.md5
@@ -0,0 +1 @@
+dee171c1554600081adf8528d1dcbe8a
diff --git a/Filters/Points/Testing/Data/Baseline/TestPCACurvatureEstimation2.png.md5 b/Filters/Points/Testing/Data/Baseline/TestPCACurvatureEstimation2.png.md5
new file mode 100644
index 00000000000..a06cfe73713
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestPCACurvatureEstimation2.png.md5
@@ -0,0 +1 @@
+df39e44bedd134a825b69b8ae0942d03
diff --git a/Filters/Points/Testing/Data/Baseline/TestPCACurvatureEstimation_1.png.md5 b/Filters/Points/Testing/Data/Baseline/TestPCACurvatureEstimation_1.png.md5
new file mode 100644
index 00000000000..740be5646d5
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestPCACurvatureEstimation_1.png.md5
@@ -0,0 +1 @@
+29e74ccf4fd4240c2d79fd26371db896
diff --git a/Filters/Points/Testing/Data/Baseline/TestPCANormalEstimation.png.md5 b/Filters/Points/Testing/Data/Baseline/TestPCANormalEstimation.png.md5
new file mode 100644
index 00000000000..366c2d7733c
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestPCANormalEstimation.png.md5
@@ -0,0 +1 @@
+0207fa43dbcc7f5587ae15d1f21ec11e
diff --git a/Filters/Points/Testing/Data/Baseline/TestPCANormalEstimation2.png.md5 b/Filters/Points/Testing/Data/Baseline/TestPCANormalEstimation2.png.md5
new file mode 100644
index 00000000000..062fa71c466
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestPCANormalEstimation2.png.md5
@@ -0,0 +1 @@
+1559fe90bfc8772c10e335f83e3e0467
diff --git a/Filters/Points/Testing/Data/Baseline/TestPCANormalEstimation2_1.png.md5 b/Filters/Points/Testing/Data/Baseline/TestPCANormalEstimation2_1.png.md5
new file mode 100644
index 00000000000..54f3ca9ebf9
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestPCANormalEstimation2_1.png.md5
@@ -0,0 +1 @@
+7fb2cab5ee8453c0b0315aeb36edb76b
diff --git a/Filters/Points/Testing/Data/Baseline/TestPCANormalEstimation2_2.png.md5 b/Filters/Points/Testing/Data/Baseline/TestPCANormalEstimation2_2.png.md5
new file mode 100644
index 00000000000..ab8d02ae1f2
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestPCANormalEstimation2_2.png.md5
@@ -0,0 +1 @@
+9185bf2ccbe279bf4a3cdc989254a019
diff --git a/Filters/Points/Testing/Data/Baseline/TestPCANormalEstimation_1.png.md5 b/Filters/Points/Testing/Data/Baseline/TestPCANormalEstimation_1.png.md5
new file mode 100644
index 00000000000..1199c5deefb
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestPCANormalEstimation_1.png.md5
@@ -0,0 +1 @@
+cedad82c1dad87a0de0949d55bbeb1e5
diff --git a/Filters/Points/Testing/Data/Baseline/TestPCANormalEstimation_2.png.md5 b/Filters/Points/Testing/Data/Baseline/TestPCANormalEstimation_2.png.md5
new file mode 100644
index 00000000000..2d1236417db
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestPCANormalEstimation_2.png.md5
@@ -0,0 +1 @@
+152a15045f918455f93af5f00c2be206
diff --git a/Filters/Points/Testing/Data/Baseline/TestRadiusOutlierRemoval.png.md5 b/Filters/Points/Testing/Data/Baseline/TestRadiusOutlierRemoval.png.md5
new file mode 100644
index 00000000000..7796bab910e
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestRadiusOutlierRemoval.png.md5
@@ -0,0 +1 @@
+a72aa4ac4b715301840928e0d27fec67
diff --git a/Filters/Points/Testing/Data/Baseline/TestRadiusOutlierRemoval_1.png.md5 b/Filters/Points/Testing/Data/Baseline/TestRadiusOutlierRemoval_1.png.md5
new file mode 100644
index 00000000000..394e43c8568
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestRadiusOutlierRemoval_1.png.md5
@@ -0,0 +1 @@
+7e186d4187dae54b80ee4d14257bc1aa
diff --git a/Filters/Points/Testing/Data/Baseline/TestRadiusOutlierRemoval_2.png.md5 b/Filters/Points/Testing/Data/Baseline/TestRadiusOutlierRemoval_2.png.md5
new file mode 100644
index 00000000000..0653e87f9a1
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestRadiusOutlierRemoval_2.png.md5
@@ -0,0 +1 @@
+307f4526d74f10adb8767248ea9dadd6
diff --git a/Filters/Points/Testing/Data/Baseline/TestSignedDistanceFilter.png.md5 b/Filters/Points/Testing/Data/Baseline/TestSignedDistanceFilter.png.md5
new file mode 100644
index 00000000000..29e8545cddd
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestSignedDistanceFilter.png.md5
@@ -0,0 +1 @@
+565e56447abef5fda7b2da5f00c8fc85
diff --git a/Filters/Points/Testing/Data/Baseline/TestSignedDistanceFilter_1.png.md5 b/Filters/Points/Testing/Data/Baseline/TestSignedDistanceFilter_1.png.md5
new file mode 100644
index 00000000000..28f00934908
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestSignedDistanceFilter_1.png.md5
@@ -0,0 +1 @@
+2feecf944487096b67f6b4160e907bdd
diff --git a/Filters/Points/Testing/Data/Baseline/TestStatisticalOutlierRemoval.png.md5 b/Filters/Points/Testing/Data/Baseline/TestStatisticalOutlierRemoval.png.md5
new file mode 100644
index 00000000000..710b6bb0892
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestStatisticalOutlierRemoval.png.md5
@@ -0,0 +1 @@
+29f9aac6f51eb73f765e51bc9dd94a18
diff --git a/Filters/Points/Testing/Data/Baseline/TestStatisticalOutlierRemoval_1.png.md5 b/Filters/Points/Testing/Data/Baseline/TestStatisticalOutlierRemoval_1.png.md5
new file mode 100644
index 00000000000..c5c01f1ae09
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestStatisticalOutlierRemoval_1.png.md5
@@ -0,0 +1 @@
+a0d2231d5a6d5fab718a1b26975d86dd
diff --git a/Filters/Points/Testing/Data/Baseline/TestStatisticalOutlierRemoval_2.png.md5 b/Filters/Points/Testing/Data/Baseline/TestStatisticalOutlierRemoval_2.png.md5
new file mode 100644
index 00000000000..84aa2f92612
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestStatisticalOutlierRemoval_2.png.md5
@@ -0,0 +1 @@
+cb108893ba2e357f1c57a95063e92b0b
diff --git a/Filters/Points/Testing/Data/Baseline/TestVoxelGridFilter.png.md5 b/Filters/Points/Testing/Data/Baseline/TestVoxelGridFilter.png.md5
new file mode 100644
index 00000000000..166d7bb23ca
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestVoxelGridFilter.png.md5
@@ -0,0 +1 @@
+47ed65bd9ec8a38c041a68f4c67b5818
diff --git a/Filters/Points/Testing/Data/Baseline/TestVoxelGridFilter_1.png.md5 b/Filters/Points/Testing/Data/Baseline/TestVoxelGridFilter_1.png.md5
new file mode 100644
index 00000000000..65fe799fdc0
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestVoxelGridFilter_1.png.md5
@@ -0,0 +1 @@
+81c47e145a517a14caa1feb75d1137d5
diff --git a/Filters/Points/Testing/Data/Baseline/TestVoxelGridFilter_2.png.md5 b/Filters/Points/Testing/Data/Baseline/TestVoxelGridFilter_2.png.md5
new file mode 100644
index 00000000000..c5fb98a2d49
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestVoxelGridFilter_2.png.md5
@@ -0,0 +1 @@
+9ed77dab18ab940a57be718f3f8dae66
diff --git a/Filters/Points/Testing/Data/Baseline/TestVoxelGridFilter_3.png.md5 b/Filters/Points/Testing/Data/Baseline/TestVoxelGridFilter_3.png.md5
new file mode 100644
index 00000000000..31912b02fd4
--- /dev/null
+++ b/Filters/Points/Testing/Data/Baseline/TestVoxelGridFilter_3.png.md5
@@ -0,0 +1 @@
+fc1399b4e6d61569132d877655c4c1dc
diff --git a/Filters/Points/Testing/Python/CMakeLists.txt b/Filters/Points/Testing/Python/CMakeLists.txt
index afaa380cdb0..72e64ffb450 100644
--- a/Filters/Points/Testing/Python/CMakeLists.txt
+++ b/Filters/Points/Testing/Python/CMakeLists.txt
@@ -7,3 +7,21 @@ vtk_add_test_python(
TestSPHInterpolator.py
TestSPHInterpolator2D.py
)
+
+if ("${VTK_RENDERING_BACKEND}" STREQUAL "OpenGL2")
+ vtk_add_test_python(
+ TestEuclideanClusterExtraction.py
+ TestEuclideanClusterExtraction2.py
+ TestExtractPoints.py
+ TestFitImplicitFunction.py
+ TestHierarchicalBinningFilter.py
+ TestPCACurvatureEstimation.py
+ TestPCACurvatureEstimation2.py
+ TestPCANormalEstimation.py
+ TestPCANormalEstimation2.py
+ TestRadiusOutlierRemoval.py
+ TestSignedDistanceFilter.py
+ TestStatisticalOutlierRemoval.py
+ TestVoxelGridFilter.py
+ )
+endif ()
diff --git a/Filters/Points/Testing/Python/TestEuclideanClusterExtraction.py b/Filters/Points/Testing/Python/TestEuclideanClusterExtraction.py
new file mode 100755
index 00000000000..5a11baeb3aa
--- /dev/null
+++ b/Filters/Points/Testing/Python/TestEuclideanClusterExtraction.py
@@ -0,0 +1,96 @@
+#!/usr/bin/env python
+import vtk
+from vtk.test import Testing
+from vtk.util.misc import vtkGetDataRoot
+VTK_DATA_ROOT = vtkGetDataRoot()
+
+# create pipeline
+#
+
+# Create a cylinder
+cyl = vtk.vtkCylinderSource()
+cyl.SetCenter(-2,0,0)
+cyl.SetRadius(0.02)
+cyl.SetHeight(1.8)
+cyl.SetResolution(24)
+
+# Create a (thin) box implicit function
+plane = vtk.vtkPlaneSource()
+plane.SetOrigin(-1, -0.5, 0)
+plane.SetPoint1(0.5, -0.5, 0)
+plane.SetPoint2(-1, 0.5, 0)
+
+# Create a sphere implicit function
+sphere = vtk.vtkSphereSource()
+sphere.SetCenter(2,0,0)
+sphere.SetRadius(0.8)
+sphere.SetThetaResolution(96)
+sphere.SetPhiResolution(48)
+
+# Boolean (union) these together
+append = vtk.vtkAppendPolyData()
+append.AddInputConnection(cyl.GetOutputPort())
+append.AddInputConnection(plane.GetOutputPort())
+append.AddInputConnection(sphere.GetOutputPort())
+
+# Extract points along sphere surface
+pts = vtk.vtkPolyDataPointSampler()
+pts.SetInputConnection(append.GetOutputPort())
+pts.SetDistance(0.025)
+pts.Update()
+
+# Now see if we can extract the three objects as separate clusters.
+extr = vtk.vtkEuclideanClusterExtraction()
+extr.SetInputConnection(pts.GetOutputPort())
+extr.SetRadius(0.1)
+extr.ColorClustersOn()
+extr.SetExtractionModeToAllClusters()
+
+# Time execution
+timer = vtk.vtkTimerLog()
+timer.StartTimer()
+extr.Update()
+timer.StopTimer()
+time = timer.GetElapsedTime()
+print("Points processed: {0}".format(pts.GetOutput().GetNumberOfPoints()))
+print(" Time to segment objects: {0}".format(time))
+print(" Number of clusters: {0}".format(extr.GetNumberOfExtractedClusters()))
+
+# Three different outputs for different curvatures
+subMapper = vtk.vtkPointGaussianMapper()
+subMapper.SetInputConnection(extr.GetOutputPort(0))
+subMapper.EmissiveOff()
+subMapper.SetScaleFactor(0.0)
+subMapper.SetScalarRange(0,2)
+
+subActor = vtk.vtkActor()
+subActor.SetMapper(subMapper)
+subActor.AddPosition(0,2.25,0)
+
+# Create the RenderWindow, Renderer and both Actors
+#
+ren0 = vtk.vtkRenderer()
+renWin = vtk.vtkRenderWindow()
+renWin.AddRenderer(ren0)
+iren = vtk.vtkRenderWindowInteractor()
+iren.SetRenderWindow(renWin)
+
+# Add the actors to the renderer, set the background and size
+#
+ren0.AddActor(subActor)
+ren0.SetBackground(0.1, 0.2, 0.4)
+
+renWin.SetSize(250,250)
+
+cam = ren0.GetActiveCamera()
+cam.SetFocalPoint(0,0,-1)
+cam.SetPosition(0,0,0)
+ren0.ResetCamera()
+
+iren.Initialize()
+
+# render the image
+#
+renWin.Render()
+
+#iren.Start()
diff --git a/Filters/Points/Testing/Python/TestEuclideanClusterExtraction2.py b/Filters/Points/Testing/Python/TestEuclideanClusterExtraction2.py
new file mode 100755
index 00000000000..3a8e64735ac
--- /dev/null
+++ b/Filters/Points/Testing/Python/TestEuclideanClusterExtraction2.py
@@ -0,0 +1,117 @@
+#!/usr/bin/env python
+import vtk
+from vtk.test import Testing
+from vtk.util.misc import vtkGetDataRoot
+VTK_DATA_ROOT = vtkGetDataRoot()
+
+# Parameters for debugging
+NPts = 100000
+math = vtk.vtkMath()
+math.RandomSeed(31415)
+
+# create pipeline
+#
+points = vtk.vtkBoundedPointSource()
+points.SetNumberOfPoints(NPts)
+points.SetBounds(-3,3, -1,1, -1,1)
+points.ProduceRandomScalarsOff()
+points.ProduceCellOutputOff()
+
+# create some scalars based on implicit function
+# Create a cylinder
+cyl = vtk.vtkCylinder()
+cyl.SetCenter(-2,0,0)
+cyl.SetRadius(0.02)
+
+# Create a (thin) box implicit function
+box = vtk.vtkBox()
+box.SetBounds(-1,0.5, -0.5,0.5, -0.0005, 0.0005)
+
+# Create a sphere implicit function
+sphere = vtk.vtkSphere()
+sphere.SetCenter(2,0,0)
+sphere.SetRadius(0.8)
+
+# Boolean (union) these together
+imp = vtk.vtkImplicitBoolean()
+imp.SetOperationTypeToUnion()
+imp.AddFunction(cyl)
+imp.AddFunction(box)
+imp.AddFunction(sphere)
+
+# Generate scalars and vector
+sample = vtk.vtkSampleImplicitFunctionFilter()
+sample.SetInputConnection(points.GetOutputPort())
+sample.SetImplicitFunction(imp)
+sample.Update()
+print(sample.GetOutput().GetScalarRange())
+
+# Now see if we can extract the three objects as separate clusters.
+extr = vtk.vtkEuclideanClusterExtraction()
+extr.SetInputConnection(sample.GetOutputPort())
+extr.SetRadius(0.15)
+#extr.ColorClustersOn()
+#extr.SetExtractionModeToAllClusters()
+extr.SetExtractionModeToLargestCluster()
+extr.ScalarConnectivityOn()
+extr.SetScalarRange(-0.64,-.3)
+
+# Time execution
+timer = vtk.vtkTimerLog()
+timer.StartTimer()
+extr.Update()
+timer.StopTimer()
+time = timer.GetElapsedTime()
+print("Points processed: {0}".format(points.GetOutput().GetNumberOfPoints()))
+print(" Time to segment objects: {0}".format(time))
+print(" Number of clusters: {0}".format(extr.GetNumberOfExtractedClusters()))
+
+# Draw the points
+subMapper = vtk.vtkPointGaussianMapper()
+subMapper.SetInputConnection(extr.GetOutputPort(0))
+#subMapper.SetInputConnection(sample.GetOutputPort(0))
+subMapper.EmissiveOff()
+subMapper.SetScaleFactor(0.0)
+subMapper.SetScalarRange(-0.64,2.25)
+
+subActor = vtk.vtkActor()
+subActor.SetMapper(subMapper)
+
+# Create an outline
+outline = vtk.vtkOutlineFilter()
+outline.SetInputConnection(sample.GetOutputPort())
+
+outlineMapper = vtk.vtkPolyDataMapper()
+outlineMapper.SetInputConnection(outline.GetOutputPort())
+
+outlineActor = vtk.vtkActor()
+outlineActor.SetMapper(outlineMapper)
+
+# Create the RenderWindow, Renderer and both Actors
+#
+ren0 = vtk.vtkRenderer()
+renWin = vtk.vtkRenderWindow()
+renWin.AddRenderer(ren0)
+iren = vtk.vtkRenderWindowInteractor()
+iren.SetRenderWindow(renWin)
+
+# Add the actors to the renderer, set the background and size
+#
+ren0.AddActor(subActor)
+ren0.AddActor(outlineActor)
+ren0.SetBackground(0.1, 0.2, 0.4)
+
+renWin.SetSize(250,250)
+
+cam = ren0.GetActiveCamera()
+cam.SetFocalPoint(0,0,-1)
+cam.SetPosition(0,0,0)
+ren0.ResetCamera()
+
+iren.Initialize()
+
+# render the image
+#
+renWin.Render()
+
+#iren.Start()
diff --git a/Filters/Points/Testing/Python/TestExtractPoints.py b/Filters/Points/Testing/Python/TestExtractPoints.py
new file mode 100755
index 00000000000..37e8ebf153b
--- /dev/null
+++ b/Filters/Points/Testing/Python/TestExtractPoints.py
@@ -0,0 +1,91 @@
+#!/usr/bin/env python
+import vtk
+from vtk.test import Testing
+from vtk.util.misc import vtkGetDataRoot
+VTK_DATA_ROOT = vtkGetDataRoot()
+
+# Interpolate onto a volume
+
+# Parameters for debugging
+NPts = 1000000
+math = vtk.vtkMath()
+math.RandomSeed(31415)
+
+# create pipeline
+#
+points = vtk.vtkBoundedPointSource()
+points.SetNumberOfPoints(NPts)
+points.ProduceRandomScalarsOn()
+points.ProduceCellOutputOff()
+points.Update()
+
+# Create a sphere implicit function
+sphere = vtk.vtkSphere()
+sphere.SetCenter(0.9,0.1,0.1)
+sphere.SetRadius(0.33)
+
+# Extract points within sphere
+extract = vtk.vtkExtractPoints()
+extract.SetInputConnection(points.GetOutputPort())
+extract.SetImplicitFunction(sphere)
+
+# Time execution
+timer = vtk.vtkTimerLog()
+timer.StartTimer()
+extract.Update()
+timer.StopTimer()
+time = timer.GetElapsedTime()
+print("Time to remove points: {0}".format(time))
+print(" Number removed: {0}".format(extract.GetNumberOfPointsRemoved()),
+ " (out of: {}".format(NPts))
+
+# First output are the non-outliers
+extMapper = vtk.vtkPointGaussianMapper()
+extMapper.SetInputConnection(extract.GetOutputPort())
+extMapper.EmissiveOff()
+extMapper.SetScaleFactor(0.0)
+
+extActor = vtk.vtkActor()
+extActor.SetMapper(extMapper)
+
+# Create an outline
+outline = vtk.vtkOutlineFilter()
+outline.SetInputConnection(points.GetOutputPort())
+
+outlineMapper = vtk.vtkPolyDataMapper()
+outlineMapper.SetInputConnection(outline.GetOutputPort())
+
+outlineActor = vtk.vtkActor()
+outlineActor.SetMapper(outlineMapper)
+
+# Create the RenderWindow, Renderer and both Actors
+#
+ren0 = vtk.vtkRenderer()
+ren1 = vtk.vtkRenderer()
+renWin = vtk.vtkRenderWindow()
+renWin.AddRenderer(ren0)
+iren = vtk.vtkRenderWindowInteractor()
+iren.SetRenderWindow(renWin)
+
+# Add the actors to the renderer, set the background and size
+#
+ren0.AddActor(extActor)
+ren0.AddActor(outlineActor)
+ren0.SetBackground(0.1, 0.2, 0.4)
+
+renWin.SetSize(250,250)
+
+cam = ren0.GetActiveCamera()
+cam.SetFocalPoint(1,1,1)
+cam.SetPosition(0,0,0)
+ren0.ResetCamera()
+
+ren1.SetActiveCamera(cam)
+
+iren.Initialize()
+
+# render the image
+#
+renWin.Render()
+
+#iren.Start()
diff --git a/Filters/Points/Testing/Python/TestFitImplicitFunction.py b/Filters/Points/Testing/Python/TestFitImplicitFunction.py
new file mode 100755
index 00000000000..06cd9d7d964
--- /dev/null
+++ b/Filters/Points/Testing/Python/TestFitImplicitFunction.py
@@ -0,0 +1,92 @@
+#!/usr/bin/env python
+import vtk
+from vtk.test import Testing
+from vtk.util.misc import vtkGetDataRoot
+VTK_DATA_ROOT = vtkGetDataRoot()
+
+# Interpolate onto a volume
+
+# Parameters for debugging
+NPts = 1000000
+math = vtk.vtkMath()
+math.RandomSeed(31415)
+
+# create pipeline
+#
+points = vtk.vtkBoundedPointSource()
+points.SetNumberOfPoints(NPts)
+points.ProduceRandomScalarsOn()
+points.ProduceCellOutputOff()
+points.Update()
+
+# Create a sphere implicit function
+sphere = vtk.vtkSphere()
+sphere.SetCenter(0.9,0.1,0.1)
+sphere.SetRadius(0.33)
+
+# Extract points within sphere
+extract = vtk.vtkFitImplicitFunction()
+extract.SetInputConnection(points.GetOutputPort())
+extract.SetImplicitFunction(sphere)
+extract.SetThreshold(0.005)
+
+# Time execution
+timer = vtk.vtkTimerLog()
+timer.StartTimer()
+extract.Update()
+timer.StopTimer()
+time = timer.GetElapsedTime()
+print("Time to extract points: {0}".format(time))
+print(" Number removed: {0}".format(extract.GetNumberOfPointsRemoved()),
+ " (out of: {}".format(NPts))
+
+# First output are the non-outliers
+extMapper = vtk.vtkPointGaussianMapper()
+extMapper.SetInputConnection(extract.GetOutputPort())
+extMapper.EmissiveOff()
+extMapper.SetScaleFactor(0.0)
+
+extActor = vtk.vtkActor()
+extActor.SetMapper(extMapper)
+
+# Create an outline
+outline = vtk.vtkOutlineFilter()
+outline.SetInputConnection(points.GetOutputPort())
+
+outlineMapper = vtk.vtkPolyDataMapper()
+outlineMapper.SetInputConnection(outline.GetOutputPort())
+
+outlineActor = vtk.vtkActor()
+outlineActor.SetMapper(outlineMapper)
+
+# Create the RenderWindow, Renderer and both Actors
+#
+ren0 = vtk.vtkRenderer()
+ren1 = vtk.vtkRenderer()
+renWin = vtk.vtkRenderWindow()
+renWin.AddRenderer(ren0)
+iren = vtk.vtkRenderWindowInteractor()
+iren.SetRenderWindow(renWin)
+
+# Add the actors to the renderer, set the background and size
+#
+ren0.AddActor(extActor)
+ren0.AddActor(outlineActor)
+ren0.SetBackground(0.1, 0.2, 0.4)
+
+renWin.SetSize(250,250)
+
+cam = ren0.GetActiveCamera()
+cam.SetFocalPoint(1,1,1)
+cam.SetPosition(0,0,0)
+ren0.ResetCamera()
+
+ren1.SetActiveCamera(cam)
+
+iren.Initialize()
+
+# render the image
+#
+renWin.Render()
+
+#iren.Start()
diff --git a/Filters/Points/Testing/Python/TestHierarchicalBinningFilter.py b/Filters/Points/Testing/Python/TestHierarchicalBinningFilter.py
new file mode 100755
index 00000000000..11cf26c5869
--- /dev/null
+++ b/Filters/Points/Testing/Python/TestHierarchicalBinningFilter.py
@@ -0,0 +1,115 @@
+#!/usr/bin/env python
+import vtk
+from vtk.test import Testing
+from vtk.util.misc import vtkGetDataRoot
+VTK_DATA_ROOT = vtkGetDataRoot()
+
+# Interpolate onto a volume
+
+# Parameters for debugging
+NPts = 1000000
+binNum = 16
+math = vtk.vtkMath()
+math.RandomSeed(31415)
+
+# create pipeline
+#
+points = vtk.vtkBoundedPointSource()
+points.SetNumberOfPoints(NPts)
+points.ProduceRandomScalarsOn()
+points.ProduceCellOutputOff()
+points.Update()
+
+# Bin the points
+hBin = vtk.vtkHierarchicalBinningFilter()
+hBin.SetInputConnection(points.GetOutputPort())
+#hBin.AutomaticOn()
+hBin.AutomaticOff()
+hBin.SetDivisions(2,2,2)
+hBin.SetBounds(points.GetOutput().GetBounds())
+
+# Time execution
+timer = vtk.vtkTimerLog()
+timer.StartTimer()
+hBin.Update()
+timer.StopTimer()
+time = timer.GetElapsedTime()
+print("Points processed: {0}".format(NPts))
+print(" Time to bin: {0}".format(time))
+#print(hBin)
+#print(hBin.GetOutput())
+
+# write stuff out
+w = vtk.vtkXMLPolyDataWriter()
+w.SetFileName("binPoints.vtp")
+w.SetInputConnection(hBin.GetOutputPort())
+#w.SetDataModeToAscii()
+#w.Write()
+
+# Output a selected bin of points
+extBin = vtk.vtkExtractHierarchicalBins()
+extBin.SetInputConnection(hBin.GetOutputPort())
+extBin.SetBinningFilter(hBin)
+#extBin.SetLevel(0)
+extBin.SetLevel(-1)
+extBin.SetBin(binNum)
+
+subMapper = vtk.vtkPointGaussianMapper()
+subMapper.SetInputConnection(extBin.GetOutputPort())
+subMapper.EmissiveOff()
+subMapper.SetScaleFactor(0.0)
+
+subActor = vtk.vtkActor()
+subActor.SetMapper(subMapper)
+
+# Create an outline
+outline = vtk.vtkOutlineFilter()
+outline.SetInputConnection(points.GetOutputPort())
+
+outlineMapper = vtk.vtkPolyDataMapper()
+outlineMapper.SetInputConnection(outline.GetOutputPort())
+
+outlineActor = vtk.vtkActor()
+outlineActor.SetMapper(outlineMapper)
+
+# Create another outline
+bds = [0,0,0,0,0,0]
+hBin.GetBinBounds(binNum,bds)
+binOutline = vtk.vtkOutlineSource()
+binOutline.SetBounds(bds)
+
+binOutlineMapper = vtk.vtkPolyDataMapper()
+binOutlineMapper.SetInputConnection(binOutline.GetOutputPort())
+
+binOutlineActor = vtk.vtkActor()
+binOutlineActor.SetMapper(binOutlineMapper)
+
+# Create the RenderWindow, Renderer and both Actors
+#
+ren0 = vtk.vtkRenderer()
+renWin = vtk.vtkRenderWindow()
+renWin.AddRenderer(ren0)
+iren = vtk.vtkRenderWindowInteractor()
+iren.SetRenderWindow(renWin)
+
+# Add the actors to the renderer, set the background and size
+#
+ren0.AddActor(subActor)
+ren0.AddActor(outlineActor)
+ren0.AddActor(binOutlineActor)
+ren0.SetBackground(0.1, 0.2, 0.4)
+
+renWin.SetSize(250,250)
+
+cam = ren0.GetActiveCamera()
+cam.SetFocalPoint(1,1,1)
+cam.SetPosition(0,0,0)
+ren0.ResetCamera()
+
+iren.Initialize()
+
+# render the image
+#
+renWin.Render()
+
+#iren.Start()
diff --git a/Filters/Points/Testing/Python/TestPCACurvatureEstimation.py b/Filters/Points/Testing/Python/TestPCACurvatureEstimation.py
new file mode 100755
index 00000000000..ebf73b03d3c
--- /dev/null
+++ b/Filters/Points/Testing/Python/TestPCACurvatureEstimation.py
@@ -0,0 +1,123 @@
+#!/usr/bin/env python
+import vtk
+from vtk.test import Testing
+from vtk.util.misc import vtkGetDataRoot
+VTK_DATA_ROOT = vtkGetDataRoot()
+
+# create pipeline
+#
+
+# Create a cylinder
+cyl = vtk.vtkCylinderSource()
+cyl.SetCenter(-2,0,0)
+cyl.SetRadius(0.02)
+cyl.SetHeight(1.8)
+cyl.SetResolution(24)
+
+# Create a (thin) box implicit function
+plane = vtk.vtkPlaneSource()
+plane.SetOrigin(-1, -0.5, 0)
+plane.SetPoint1(0.5, -0.5, 0)
+plane.SetPoint2(-1, 0.5, 0)
+
+# Create a sphere implicit function
+sphere = vtk.vtkSphereSource()
+sphere.SetCenter(2,0,0)
+sphere.SetRadius(0.8)
+sphere.SetThetaResolution(96)
+sphere.SetPhiResolution(48)
+
+# Boolean (union) these together
+append = vtk.vtkAppendPolyData()
+append.AddInputConnection(cyl.GetOutputPort())
+append.AddInputConnection(plane.GetOutputPort())
+append.AddInputConnection(sphere.GetOutputPort())
+
+# Extract points along sphere surface
+pts = vtk.vtkPolyDataPointSampler()
+pts.SetInputConnection(append.GetOutputPort())
+pts.SetDistance(0.01)
+pts.Update()
+
+# Now generate normals from resulting points
+curv = vtk.vtkPCACurvatureEstimation()
+curv.SetInputConnection(pts.GetOutputPort())
+curv.SetSampleSize(20)
+
+# Time execution
+timer = vtk.vtkTimerLog()
+timer.StartTimer()
+curv.Update()
+timer.StopTimer()
+time = timer.GetElapsedTime()
+print("Points processed: {0}".format(pts.GetOutput().GetNumberOfPoints()))
+print(" Time to generate curvature: {0}".format(time))
+
+# Break out the curvature into three separate arrays
+assign = vtk.vtkAssignAttribute()
+assign.SetInputConnection(curv.GetOutputPort())
+assign.Assign("PCACurvature", "VECTORS", "POINT_DATA")
+
+extract = vtk.vtkExtractVectorComponents()
+extract.SetInputConnection(assign.GetOutputPort())
+extract.Update()
+print(extract.GetOutput(0).GetScalarRange())
+print(extract.GetOutput(1).GetScalarRange())
+print(extract.GetOutput(2).GetScalarRange())
+
+# Three different outputs for different curvatures
+subMapper = vtk.vtkPointGaussianMapper()
+subMapper.SetInputConnection(extract.GetOutputPort(0))
+subMapper.EmissiveOff()
+subMapper.SetScaleFactor(0.0)
+
+subActor = vtk.vtkActor()
+subActor.SetMapper(subMapper)
+subActor.AddPosition(0,2.25,0)
+
+sub1Mapper = vtk.vtkPointGaussianMapper()
+sub1Mapper.SetInputConnection(extract.GetOutputPort(1))
+sub1Mapper.EmissiveOff()
+sub1Mapper.SetScaleFactor(0.0)
+
+sub1Actor = vtk.vtkActor()
+sub1Actor.SetMapper(sub1Mapper)
+
+sub2Mapper = vtk.vtkPointGaussianMapper()
+sub2Mapper.SetInputConnection(extract.GetOutputPort(2))
+sub2Mapper.EmissiveOff()
+sub2Mapper.SetScaleFactor(0.0)
+
+sub2Actor = vtk.vtkActor()
+sub2Actor.SetMapper(sub2Mapper)
+sub2Actor.AddPosition(0,-2.25,0)
+
+# Create the RenderWindow, Renderer and both Actors
+#
+ren0 = vtk.vtkRenderer()
+renWin = vtk.vtkRenderWindow()
+renWin.AddRenderer(ren0)
+iren = vtk.vtkRenderWindowInteractor()
+iren.SetRenderWindow(renWin)
+
+# Add the actors to the renderer, set the background and size
+#
+ren0.AddActor(subActor)
+ren0.AddActor(sub1Actor)
+ren0.AddActor(sub2Actor)
+ren0.SetBackground(0.1, 0.2, 0.4)
+
+renWin.SetSize(250,250)
+
+cam = ren0.GetActiveCamera()
+cam.SetFocalPoint(0,0,-1)
+cam.SetPosition(0,0,0)
+ren0.ResetCamera()
+
+iren.Initialize()
+
+# render the image
+#
+renWin.Render()
+
+#iren.Start()
diff --git a/Filters/Points/Testing/Python/TestPCACurvatureEstimation2.py b/Filters/Points/Testing/Python/TestPCACurvatureEstimation2.py
new file mode 100755
index 00000000000..568c08b95db
--- /dev/null
+++ b/Filters/Points/Testing/Python/TestPCACurvatureEstimation2.py
@@ -0,0 +1,132 @@
+#!/usr/bin/env python
+import vtk
+from vtk.test import Testing
+from vtk.util.misc import vtkGetDataRoot
+VTK_DATA_ROOT = vtkGetDataRoot()
+
+# Interpolate onto a volume
+
+# Parameters for debugging
+NPts = 1000000
+math = vtk.vtkMath()
+math.RandomSeed(31415)
+
+# create pipeline
+#
+points = vtk.vtkBoundedPointSource()
+points.SetNumberOfPoints(NPts)
+points.SetBounds(-3,3, -1,1, -1,1)
+points.ProduceRandomScalarsOn()
+points.ProduceCellOutputOff()
+points.Update()
+
+# Create a cylinder
+cyl = vtk.vtkCylinder()
+cyl.SetCenter(-2,0,0)
+cyl.SetRadius(0.02)
+
+# Create a (thin) box implicit function
+box = vtk.vtkBox()
+box.SetBounds(-1,0.5, -0.5,0.5, -0.0005, 0.0005)
+
+# Create a sphere implicit function
+sphere = vtk.vtkSphere()
+sphere.SetCenter(2,0,0)
+sphere.SetRadius(0.8)
+
+# Boolean (union) these together
+imp = vtk.vtkImplicitBoolean()
+imp.SetOperationTypeToUnion()
+imp.AddFunction(cyl)
+imp.AddFunction(box)
+imp.AddFunction(sphere)
+
+# Extract points along sphere surface
+extract = vtk.vtkFitImplicitFunction()
+extract.SetInputConnection(points.GetOutputPort())
+extract.SetImplicitFunction(imp)
+extract.SetThreshold(0.0005)
+extract.Update()
+
+# Now generate normals from resulting points
+curv = vtk.vtkPCACurvatureEstimation()
+curv.SetInputConnection(extract.GetOutputPort())
+curv.SetSampleSize(6)
+
+# Time execution
+timer = vtk.vtkTimerLog()
+timer.StartTimer()
+curv.Update()
+timer.StopTimer()
+time = timer.GetElapsedTime()
+print("Points processed: {0}".format(NPts))
+print(" Time to generate curvature: {0}".format(time))
+
+# Break out the curvature into thress separate arrays
+assign = vtk.vtkAssignAttribute()
+assign.SetInputConnection(curv.GetOutputPort())
+assign.Assign("PCACurvature", "VECTORS", "POINT_DATA")
+
+extract = vtk.vtkExtractVectorComponents()
+extract.SetInputConnection(assign.GetOutputPort())
+extract.Update()
+print(extract.GetOutput(0).GetScalarRange())
+print(extract.GetOutput(1).GetScalarRange())
+print(extract.GetOutput(2).GetScalarRange())
+
+# Three different outputs for different curvatures
+subMapper = vtk.vtkPointGaussianMapper()
+subMapper.SetInputConnection(extract.GetOutputPort(0))
+subMapper.EmissiveOff()
+subMapper.SetScaleFactor(0.0)
+
+subActor = vtk.vtkActor()
+subActor.SetMapper(subMapper)
+subActor.AddPosition(0,2.25,0)
+
+sub1Mapper = vtk.vtkPointGaussianMapper()
+sub1Mapper.SetInputConnection(extract.GetOutputPort(1))
+sub1Mapper.EmissiveOff()
+sub1Mapper.SetScaleFactor(0.0)
+
+sub1Actor = vtk.vtkActor()
+sub1Actor.SetMapper(sub1Mapper)
+
+sub2Mapper = vtk.vtkPointGaussianMapper()
+sub2Mapper.SetInputConnection(extract.GetOutputPort(2))
+sub2Mapper.EmissiveOff()
+sub2Mapper.SetScaleFactor(0.0)
+
+sub2Actor = vtk.vtkActor()
+sub2Actor.SetMapper(sub2Mapper)
+sub2Actor.AddPosition(0,-2.25,0)
+
+# Create the RenderWindow, Renderer and both Actors
+#
+ren0 = vtk.vtkRenderer()
+renWin = vtk.vtkRenderWindow()
+renWin.AddRenderer(ren0)
+iren = vtk.vtkRenderWindowInteractor()
+iren.SetRenderWindow(renWin)
+
+# Add the actors to the renderer, set the background and size
+#
+ren0.AddActor(subActor)
+ren0.AddActor(sub1Actor)
+ren0.AddActor(sub2Actor)
+ren0.SetBackground(0.1, 0.2, 0.4)
+
+renWin.SetSize(250,250)
+
+cam = ren0.GetActiveCamera()
+cam.SetFocalPoint(0,0,-1)
+cam.SetPosition(0,0,0)
+ren0.ResetCamera()
+
+iren.Initialize()
+
+# render the image
+#
+renWin.Render()
+
+#iren.Start()
diff --git a/Filters/Points/Testing/Python/TestPCANormalEstimation.py b/Filters/Points/Testing/Python/TestPCANormalEstimation.py
new file mode 100755
index 00000000000..e5a8a021bc6
--- /dev/null
+++ b/Filters/Points/Testing/Python/TestPCANormalEstimation.py
@@ -0,0 +1,116 @@
+#!/usr/bin/env python
+import vtk
+from vtk.test import Testing
+from vtk.util.misc import vtkGetDataRoot
+VTK_DATA_ROOT = vtkGetDataRoot()
+
+# Interpolate onto a volume
+
+# Parameters for debugging
+NPts = 1000000
+math = vtk.vtkMath()
+math.RandomSeed(31415)
+
+# create pipeline
+#
+points = vtk.vtkBoundedPointSource()
+points.SetNumberOfPoints(NPts)
+points.ProduceRandomScalarsOn()
+points.ProduceCellOutputOff()
+points.Update()
+
+# Create a sphere implicit function
+sphere = vtk.vtkSphere()
+sphere.SetCenter(0,0,0)
+sphere.SetRadius(0.75)
+
+# Extract points along sphere surface
+extract = vtk.vtkFitImplicitFunction()
+extract.SetInputConnection(points.GetOutputPort())
+extract.SetImplicitFunction(sphere)
+extract.SetThreshold(0.005)
+extract.Update()
+
+# Now generate normals from resulting points
+norms = vtk.vtkPCANormalEstimation()
+norms.SetInputConnection(extract.GetOutputPort())
+norms.SetSampleSize(20)
+norms.FlipNormalsOn()
+norms.SetNormalOrientationToPoint()
+norms.SetOrientationPoint(0,0,0)
+
+# Time execution
+timer = vtk.vtkTimerLog()
+timer.StartTimer()
+norms.Update()
+timer.StopTimer()
+time = timer.GetElapsedTime()
+print("Points processed: {0}".format(NPts))
+print(" Time to generate normals: {0}".format(time))
+#print(hBin)
+#print(hBin.GetOutput())
+
+subMapper = vtk.vtkPointGaussianMapper()
+subMapper.SetInputConnection(norms.GetOutputPort())
+subMapper.EmissiveOff()
+subMapper.SetScaleFactor(0.0)
+
+subActor = vtk.vtkActor()
+subActor.SetMapper(subMapper)
+
+# Draw the normals
+mask = vtk.vtkMaskPoints()
+mask.SetInputConnection(norms.GetOutputPort())
+mask.SetRandomModeType(1)
+mask.SetMaximumNumberOfPoints(250)
+
+hhog = vtk.vtkHedgeHog()
+hhog.SetInputConnection(mask.GetOutputPort())
+hhog.SetVectorModeToUseNormal()
+hhog.SetScaleFactor(0.25)
+
+hogMapper = vtk.vtkPolyDataMapper()
+hogMapper.SetInputConnection(hhog.GetOutputPort())
+
+hogActor = vtk.vtkActor()
+hogActor.SetMapper(hogMapper)
+
+# Create an outline
+outline = vtk.vtkOutlineFilter()
+outline.SetInputConnection(points.GetOutputPort())
+
+outlineMapper = vtk.vtkPolyDataMapper()
+outlineMapper.SetInputConnection(outline.GetOutputPort())
+
+outlineActor = vtk.vtkActor()
+outlineActor.SetMapper(outlineMapper)
+
+# Create the RenderWindow, Renderer and both Actors
+#
+ren0 = vtk.vtkRenderer()
+renWin = vtk.vtkRenderWindow()
+renWin.AddRenderer(ren0)
+iren = vtk.vtkRenderWindowInteractor()
+iren.SetRenderWindow(renWin)
+
+# Add the actors to the renderer, set the background and size
+#
+ren0.AddActor(subActor)
+ren0.AddActor(hogActor)
+ren0.AddActor(outlineActor)
+ren0.SetBackground(0.1, 0.2, 0.4)
+
+renWin.SetSize(250,250)
+
+cam = ren0.GetActiveCamera()
+cam.SetFocalPoint(1,1,1)
+cam.SetPosition(0,0,0)
+ren0.ResetCamera()
+
+iren.Initialize()
+
+# render the image
+#
+renWin.Render()
+
+#iren.Start()
diff --git a/Filters/Points/Testing/Python/TestPCANormalEstimation2.py b/Filters/Points/Testing/Python/TestPCANormalEstimation2.py
new file mode 100755
index 00000000000..6c77b4684e3
--- /dev/null
+++ b/Filters/Points/Testing/Python/TestPCANormalEstimation2.py
@@ -0,0 +1,115 @@
+#!/usr/bin/env python
+import vtk
+from vtk.test import Testing
+from vtk.util.misc import vtkGetDataRoot
+VTK_DATA_ROOT = vtkGetDataRoot()
+
+# Interpolate onto a volume
+
+# Parameters for debugging
+NPts = 1000000
+math = vtk.vtkMath()
+math.RandomSeed(31415)
+
+# create pipeline
+#
+points = vtk.vtkBoundedPointSource()
+points.SetNumberOfPoints(NPts)
+points.ProduceRandomScalarsOn()
+points.ProduceCellOutputOff()
+points.Update()
+
+# Create a sphere implicit function
+sphere = vtk.vtkSphere()
+sphere.SetCenter(0,0,0)
+sphere.SetRadius(0.75)
+
+# Extract points along sphere surface
+extract = vtk.vtkFitImplicitFunction()
+extract.SetInputConnection(points.GetOutputPort())
+extract.SetImplicitFunction(sphere)
+extract.SetThreshold(0.005)
+extract.Update()
+
+# Now generate normals from resulting points
+norms = vtk.vtkPCANormalEstimation()
+norms.SetInputConnection(extract.GetOutputPort())
+norms.SetSampleSize(20)
+norms.FlipNormalsOn()
+norms.SetNormalOrientationToGraphTraversal()
+
+# Time execution
+timer = vtk.vtkTimerLog()
+timer.StartTimer()
+norms.Update()
+timer.StopTimer()
+time = timer.GetElapsedTime()
+print("Points processed: {0}".format(NPts))
+print(" Time to generate normals: {0}".format(time))
+#print(hBin)
+#print(hBin.GetOutput())
+
+subMapper = vtk.vtkPointGaussianMapper()
+subMapper.SetInputConnection(norms.GetOutputPort())
+subMapper.EmissiveOff()
+subMapper.SetScaleFactor(0.0)
+
+subActor = vtk.vtkActor()
+subActor.SetMapper(subMapper)
+
+# Draw the normals
+mask = vtk.vtkMaskPoints()
+mask.SetInputConnection(norms.GetOutputPort())
+mask.SetRandomModeType(1)
+mask.SetMaximumNumberOfPoints(250)
+
+hhog = vtk.vtkHedgeHog()
+hhog.SetInputConnection(mask.GetOutputPort())
+hhog.SetVectorModeToUseNormal()
+hhog.SetScaleFactor(0.25)
+
+hogMapper = vtk.vtkPolyDataMapper()
+hogMapper.SetInputConnection(hhog.GetOutputPort())
+
+hogActor = vtk.vtkActor()
+hogActor.SetMapper(hogMapper)
+
+# Create an outline
+outline = vtk.vtkOutlineFilter()
+outline.SetInputConnection(points.GetOutputPort())
+
+outlineMapper = vtk.vtkPolyDataMapper()
+outlineMapper.SetInputConnection(outline.GetOutputPort())
+
+outlineActor = vtk.vtkActor()
+outlineActor.SetMapper(outlineMapper)
+
+# Create the RenderWindow, Renderer and both Actors
+#
+ren0 = vtk.vtkRenderer()
+renWin = vtk.vtkRenderWindow()
+renWin.AddRenderer(ren0)
+iren = vtk.vtkRenderWindowInteractor()
+iren.SetRenderWindow(renWin)
+
+# Add the actors to the renderer, set the background and size
+#
+ren0.AddActor(subActor)
+ren0.AddActor(hogActor)
+ren0.AddActor(outlineActor)
+ren0.SetBackground(0.1, 0.2, 0.4)
+
+renWin.SetSize(250,250)
+
+cam = ren0.GetActiveCamera()
+cam.SetFocalPoint(1,1,1)
+cam.SetPosition(0,0,0)
+ren0.ResetCamera()
+
+iren.Initialize()
+
+# render the image
+#
+renWin.Render()
+
+#iren.Start()
diff --git a/Filters/Points/Testing/Python/TestRadiusOutlierRemoval.py b/Filters/Points/Testing/Python/TestRadiusOutlierRemoval.py
new file mode 100755
index 00000000000..100af2c3838
--- /dev/null
+++ b/Filters/Points/Testing/Python/TestRadiusOutlierRemoval.py
@@ -0,0 +1,120 @@
+#!/usr/bin/env python
+import vtk
+from vtk.test import Testing
+from vtk.util.misc import vtkGetDataRoot
+VTK_DATA_ROOT = vtkGetDataRoot()
+
+# Interpolate onto a volume
+
+# Parameters for debugging
+NPts = 10000
+math = vtk.vtkMath()
+math.RandomSeed(31415)
+
+# create pipeline
+#
+points = vtk.vtkBoundedPointSource()
+points.SetNumberOfPoints(NPts)
+points.ProduceRandomScalarsOn()
+points.ProduceCellOutputOff()
+points.Update()
+
+# Reuse the locator
+locator = vtk.vtkStaticPointLocator()
+locator.SetDataSet(points.GetOutput())
+locator.BuildLocator()
+
+# Remove isolated points
+removal = vtk.vtkRadiusOutlierRemoval()
+removal.SetInputConnection(points.GetOutputPort())
+removal.SetLocator(locator)
+removal.SetRadius(0.1)
+removal.SetNumberOfNeighbors(2)
+removal.GenerateOutliersOn()
+
+# Time execution
+timer = vtk.vtkTimerLog()
+timer.StartTimer()
+removal.Update()
+timer.StopTimer()
+time = timer.GetElapsedTime()
+print("Time to remove points: {0}".format(time))
+print(" Number removed: {0}".format(removal.GetNumberOfPointsRemoved()),
+ " (out of: {}".format(NPts))
+
+# First output are the non-outliers
+remMapper = vtk.vtkPointGaussianMapper()
+remMapper.SetInputConnection(removal.GetOutputPort())
+remMapper.EmissiveOff()
+remMapper.SetScaleFactor(0.0)
+
+remActor = vtk.vtkActor()
+remActor.SetMapper(remMapper)
+
+# Create an outline
+outline = vtk.vtkOutlineFilter()
+outline.SetInputConnection(points.GetOutputPort())
+
+outlineMapper = vtk.vtkPolyDataMapper()
+outlineMapper.SetInputConnection(outline.GetOutputPort())
+
+outlineActor = vtk.vtkActor()
+outlineActor.SetMapper(outlineMapper)
+
+# Second output are the outliers
+remMapper1 = vtk.vtkPointGaussianMapper()
+remMapper1.SetInputConnection(removal.GetOutputPort(1))
+remMapper1.EmissiveOff()
+remMapper1.SetScaleFactor(0.0)
+
+remActor1 = vtk.vtkActor()
+remActor1.SetMapper(remMapper1)
+
+# Create an outline
+outline1 = vtk.vtkOutlineFilter()
+outline1.SetInputConnection(points.GetOutputPort())
+
+outlineMapper1 = vtk.vtkPolyDataMapper()
+outlineMapper1.SetInputConnection(outline1.GetOutputPort())
+
+outlineActor1 = vtk.vtkActor()
+outlineActor1.SetMapper(outlineMapper1)
+
+# Create the RenderWindow, Renderer and both Actors
+#
+ren0 = vtk.vtkRenderer()
+ren0.SetViewport(0,0,.5,1)
+ren1 = vtk.vtkRenderer()
+ren1.SetViewport(0.5,0,1,1)
+renWin = vtk.vtkRenderWindow()
+renWin.AddRenderer(ren0)
+renWin.AddRenderer(ren1)
+iren = vtk.vtkRenderWindowInteractor()
+iren.SetRenderWindow(renWin)
+
+# Add the actors to the renderer, set the background and size
+#
+ren0.AddActor(remActor)
+ren0.AddActor(outlineActor)
+ren0.SetBackground(0.1, 0.2, 0.4)
+
+ren1.AddActor(remActor1)
+ren1.AddActor(outlineActor1)
+ren1.SetBackground(0.1, 0.2, 0.4)
+
+renWin.SetSize(500,250)
+
+cam = ren0.GetActiveCamera()
+cam.SetFocalPoint(1,1,1)
+cam.SetPosition(0,0,0)
+ren0.ResetCamera()
+
+ren1.SetActiveCamera(cam)
+
+iren.Initialize()
+
+# render the image
+#
+renWin.Render()
+
+#iren.Start()
diff --git a/Filters/Points/Testing/Python/TestSignedDistanceFilter.py b/Filters/Points/Testing/Python/TestSignedDistanceFilter.py
new file mode 100755
index 00000000000..b08dc3ddac3
--- /dev/null
+++ b/Filters/Points/Testing/Python/TestSignedDistanceFilter.py
@@ -0,0 +1,128 @@
+#!/usr/bin/env python
+import vtk
+from vtk.test import Testing
+from vtk.util.misc import vtkGetDataRoot
+VTK_DATA_ROOT = vtkGetDataRoot()
+
+# Interpolate onto a volume
+
+# Parameters for debugging
+NPts = 1000000
+math = vtk.vtkMath()
+math.RandomSeed(31415)
+
+# create pipeline
+#
+points = vtk.vtkBoundedPointSource()
+points.SetNumberOfPoints(NPts)
+points.ProduceRandomScalarsOn()
+points.ProduceCellOutputOff()
+points.Update()
+
+# Create a sphere implicit function
+sphere = vtk.vtkSphere()
+sphere.SetCenter(0,0,0)
+sphere.SetRadius(0.75)
+
+# Cut the sphere in half with a plane
+plane = vtk.vtkPlane()
+plane.SetOrigin(0,0,0)
+plane.SetNormal(1,1,1)
+
+# Boolean (intersect) these together to create a hemi-sphere
+imp = vtk.vtkImplicitBoolean()
+imp.SetOperationTypeToIntersection()
+imp.AddFunction(sphere)
+imp.AddFunction(plane)
+
+# Extract points along hemi-sphere surface
+extract = vtk.vtkFitImplicitFunction()
+extract.SetInputConnection(points.GetOutputPort())
+extract.SetImplicitFunction(imp)
+extract.SetThreshold(0.005)
+extract.Update()
+
+# Now generate normals from resulting points
+norms = vtk.vtkPCANormalEstimation()
+norms.SetInputConnection(extract.GetOutputPort())
+norms.SetSampleSize(20)
+norms.FlipNormalsOff()
+norms.SetNormalOrientationToGraphTraversal()
+#norms.SetNormalOrientationToPoint()
+#norms.SetOrientationPoint(0.3,0.3,0.3)
+norms.Update()
+
+subMapper = vtk.vtkPointGaussianMapper()
+subMapper.SetInputConnection(extract.GetOutputPort())
+subMapper.EmissiveOff()
+subMapper.SetScaleFactor(0.0)
+
+subActor = vtk.vtkActor()
+subActor.SetMapper(subMapper)
+
+# Generate signed distance function and contour it
+dist = vtk.vtkSignedDistance()
+dist.SetInputConnection(norms.GetOutputPort())
+dist.SetRadius(0.1) #how far out to propagate distance calculation
+dist.SetBounds(-1,1, -1,1, -1,1)
+dist.SetDimensions(50,50,50)
+
+# Extract the surface with modified flying edges
+fe = vtk.vtkExtractSurface()
+fe.SetInputConnection(dist.GetOutputPort())
+fe.SetRadius(0.1) # this should match the signed distance radius
+
+# Time the execution
+timer = vtk.vtkTimerLog()
+timer.StartTimer()
+fe.Update()
+timer.StopTimer()
+time = timer.GetElapsedTime()
+print("Points processed: {0}".format(NPts))
+print(" Time to generate and extract distance function: {0}".format(time))
+
+feMapper = vtk.vtkPolyDataMapper()
+feMapper.SetInputConnection(fe.GetOutputPort())
+
+feActor = vtk.vtkActor()
+feActor.SetMapper(feMapper)
+
+# Create an outline
+outline = vtk.vtkOutlineFilter()
+outline.SetInputConnection(points.GetOutputPort())
+
+outlineMapper = vtk.vtkPolyDataMapper()
+outlineMapper.SetInputConnection(outline.GetOutputPort())
+
+outlineActor = vtk.vtkActor()
+outlineActor.SetMapper(outlineMapper)
+
+# Create the RenderWindow, Renderer and both Actors
+#
+ren0 = vtk.vtkRenderer()
+renWin = vtk.vtkRenderWindow()
+renWin.AddRenderer(ren0)
+iren = vtk.vtkRenderWindowInteractor()
+iren.SetRenderWindow(renWin)
+
+# Add the actors to the renderer, set the background and size
+#
+ren0.AddActor(subActor)
+ren0.AddActor(feActor)
+ren0.AddActor(outlineActor)
+ren0.SetBackground(0.1, 0.2, 0.4)
+
+renWin.SetSize(250,250)
+
+cam = ren0.GetActiveCamera()
+cam.SetFocalPoint(1,-1,-1)
+cam.SetPosition(0,0,0)
+ren0.ResetCamera()
+
+iren.Initialize()
+
+# render the image
+#
+renWin.Render()
+
+#iren.Start()
diff --git a/Filters/Points/Testing/Python/TestStatisticalOutlierRemoval.py b/Filters/Points/Testing/Python/TestStatisticalOutlierRemoval.py
new file mode 100755
index 00000000000..f4f4e41b775
--- /dev/null
+++ b/Filters/Points/Testing/Python/TestStatisticalOutlierRemoval.py
@@ -0,0 +1,144 @@
+#!/usr/bin/env python
+import vtk
+from vtk.test import Testing
+from vtk.util.misc import vtkGetDataRoot
+VTK_DATA_ROOT = vtkGetDataRoot()
+
+# Interpolate onto a volume
+
+# Parameters for debugging
+NPts = 100000
+math = vtk.vtkMath()
+math.RandomSeed(31415)
+
+# create point cloud. A bunch of random points plus some outliers
+# over the six faces of the bounding box
+#
+points = vtk.vtkPoints()
+points.SetDataTypeToFloat()
+points.SetNumberOfPoints(NPts+6)
+scalars = vtk.vtkFloatArray()
+scalars.SetNumberOfTuples(NPts+6)
+scalars.SetName("scalars")
+for i in range(0,NPts):
+ points.SetPoint(i,math.Random(-1,1),math.Random(-1,1),math.Random(-1,1))
+ scalars.SetValue(i,math.Random(0,1))
+
+points.SetPoint(NPts, -5,0,0)
+scalars.SetValue(NPts, 0.5)
+points.SetPoint(NPts+1, 5,0,0)
+scalars.SetValue(NPts+1, 0.5)
+points.SetPoint(NPts+2, 0,-5,0)
+scalars.SetValue(NPts+2, 0.5)
+points.SetPoint(NPts+3, 0, 5,0)
+scalars.SetValue(NPts+3, 0.5)
+points.SetPoint(NPts+4, 0,0,-5)
+scalars.SetValue(NPts+4, 0.5)
+points.SetPoint(NPts+5, 0,0, 5)
+scalars.SetValue(NPts+5, 0.5)
+
+polydata = vtk.vtkPolyData()
+polydata.SetPoints(points)
+polydata.GetPointData().SetScalars(scalars)
+
+# Reuse the locator
+locator = vtk.vtkStaticPointLocator()
+locator.SetDataSet(polydata)
+locator.BuildLocator()
+
+# Remove statistically isolated points
+removal = vtk.vtkStatisticalOutlierRemoval()
+removal.SetInputData(polydata)
+removal.SetLocator(locator)
+removal.SetSampleSize(20)
+removal.SetStandardDeviationFactor(1.5)
+removal.GenerateOutliersOn()
+
+# Time execution
+timer = vtk.vtkTimerLog()
+timer.StartTimer()
+removal.Update()
+timer.StopTimer()
+time = timer.GetElapsedTime()
+print("Number of points processed: {0}".format(NPts))
+print(" Time to remove outliers: {0}".format(time))
+print(" Number removed: {0}".format(removal.GetNumberOfPointsRemoved()))
+print(" Computed mean: {0}".format(removal.GetComputedMean()))
+print(" Computed standard deviation: {0}".format(removal.GetComputedStandardDeviation()))
+
+# First output are the non-outliers
+remMapper = vtk.vtkPointGaussianMapper()
+remMapper.SetInputConnection(removal.GetOutputPort())
+remMapper.EmissiveOff()
+remMapper.SetScaleFactor(0.0)
+
+remActor = vtk.vtkActor()
+remActor.SetMapper(remMapper)
+
+# Create an outline
+outline = vtk.vtkOutlineFilter()
+outline.SetInputData(polydata)
+
+outlineMapper = vtk.vtkPolyDataMapper()
+outlineMapper.SetInputConnection(outline.GetOutputPort())
+
+outlineActor = vtk.vtkActor()
+outlineActor.SetMapper(outlineMapper)
+
+# Second output are the outliers
+remMapper1 = vtk.vtkPointGaussianMapper()
+remMapper1.SetInputConnection(removal.GetOutputPort(1))
+remMapper1.EmissiveOff()
+remMapper1.SetScaleFactor(0.0)
+
+remActor1 = vtk.vtkActor()
+remActor1.SetMapper(remMapper1)
+
+# Create an outline
+outline1 = vtk.vtkOutlineFilter()
+outline1.SetInputData(polydata)
+
+outlineMapper1 = vtk.vtkPolyDataMapper()
+outlineMapper1.SetInputConnection(outline1.GetOutputPort())
+
+outlineActor1 = vtk.vtkActor()
+outlineActor1.SetMapper(outlineMapper1)
+
+# Create the RenderWindow, Renderer and both Actors
+#
+ren0 = vtk.vtkRenderer()
+ren0.SetViewport(0,0,.5,1)
+ren1 = vtk.vtkRenderer()
+ren1.SetViewport(0.5,0,1,1)
+renWin = vtk.vtkRenderWindow()
+renWin.AddRenderer(ren0)
+renWin.AddRenderer(ren1)
+iren = vtk.vtkRenderWindowInteractor()
+iren.SetRenderWindow(renWin)
+
+# Add the actors to the renderer, set the background and size
+#
+ren0.AddActor(remActor)
+ren0.AddActor(outlineActor)
+ren0.SetBackground(0.1, 0.2, 0.4)
+
+ren1.AddActor(remActor1)
+ren1.AddActor(outlineActor1)
+ren1.SetBackground(0.1, 0.2, 0.4)
+
+renWin.SetSize(500,250)
+
+cam = ren0.GetActiveCamera()
+cam.SetFocalPoint(1,1,1)
+cam.SetPosition(0,0,0)
+ren0.ResetCamera()
+
+ren1.SetActiveCamera(cam)
+
+iren.Initialize()
+
+# render the image
+#
+renWin.Render()
+
+#iren.Start()
diff --git a/Filters/Points/Testing/Python/TestVoxelGridFilter.py b/Filters/Points/Testing/Python/TestVoxelGridFilter.py
new file mode 100755
index 00000000000..8803ac7f565
--- /dev/null
+++ b/Filters/Points/Testing/Python/TestVoxelGridFilter.py
@@ -0,0 +1,112 @@
+#!/usr/bin/env python
+import vtk
+from vtk.test import Testing
+from vtk.util.misc import vtkGetDataRoot
+VTK_DATA_ROOT = vtkGetDataRoot()
+
+# Interpolate onto a volume
+
+# Parameters for debugging
+NPts = 1000000
+math = vtk.vtkMath()
+math.RandomSeed(31415)
+
+# create pipeline
+#
+points = vtk.vtkBoundedPointSource()
+points.SetNumberOfPoints(NPts)
+points.ProduceRandomScalarsOn()
+points.ProduceCellOutputOff()
+points.Update()
+
+# Subsample
+subsample = vtk.vtkVoxelGrid()
+subsample.SetInputConnection(points.GetOutputPort())
+subsample.SetConfigurationStyleToAutomatic()
+
+# Time execution
+timer = vtk.vtkTimerLog()
+timer.StartTimer()
+subsample.Update()
+timer.StopTimer()
+time = timer.GetElapsedTime()
+print("Time to subsample: {0}".format(time))
+print(" Original number of points: {0}".format(NPts))
+print(" Final number of points: {0}".format(subsample.GetOutput().GetNumberOfPoints()))
+
+# Output the original points
+subMapper = vtk.vtkPointGaussianMapper()
+subMapper.SetInputConnection(points.GetOutputPort())
+subMapper.EmissiveOff()
+subMapper.SetScaleFactor(0.0)
+
+subActor = vtk.vtkActor()
+subActor.SetMapper(subMapper)
+
+# Create an outline
+outline = vtk.vtkOutlineFilter()
+outline.SetInputConnection(points.GetOutputPort())
+
+outlineMapper = vtk.vtkPolyDataMapper()
+outlineMapper.SetInputConnection(outline.GetOutputPort())
+
+outlineActor = vtk.vtkActor()
+outlineActor.SetMapper(outlineMapper)
+
+# Output the subsampled points
+subMapper1 = vtk.vtkPointGaussianMapper()
+subMapper1.SetInputConnection(subsample.GetOutputPort())
+subMapper1.EmissiveOff()
+subMapper1.SetScaleFactor(0.0)
+
+subActor1 = vtk.vtkActor()
+subActor1.SetMapper(subMapper1)
+
+# Create an outline
+outline1 = vtk.vtkOutlineFilter()
+outline1.SetInputConnection(points.GetOutputPort())
+
+outlineMapper1 = vtk.vtkPolyDataMapper()
+outlineMapper1.SetInputConnection(outline1.GetOutputPort())
+
+outlineActor1 = vtk.vtkActor()
+outlineActor1.SetMapper(outlineMapper1)
+
+# Create the RenderWindow, Renderer and both Actors
+#
+ren0 = vtk.vtkRenderer()
+ren0.SetViewport(0,0,.5,1)
+ren1 = vtk.vtkRenderer()
+ren1.SetViewport(0.5,0,1,1)
+renWin = vtk.vtkRenderWindow()
+renWin.AddRenderer(ren0)
+renWin.AddRenderer(ren1)
+iren = vtk.vtkRenderWindowInteractor()
+iren.SetRenderWindow(renWin)
+
+# Add the actors to the renderer, set the background and size
+#
+ren0.AddActor(subActor)
+ren0.AddActor(outlineActor)
+ren0.SetBackground(0.1, 0.2, 0.4)
+
+ren1.AddActor(subActor1)
+ren1.AddActor(outlineActor1)
+ren1.SetBackground(0.1, 0.2, 0.4)
+
+renWin.SetSize(500,250)
+
+cam = ren0.GetActiveCamera()
+cam.SetFocalPoint(0,0,0)
+cam.SetPosition(1,1,1)
+ren0.ResetCamera()
+
+ren1.SetActiveCamera(cam)
+
+iren.Initialize()
+
+# render the image
+#
+renWin.Render()
+
+#iren.Start()
diff --git a/Filters/Points/vtkBoundedPointSource.cxx b/Filters/Points/vtkBoundedPointSource.cxx
new file mode 100644
index 00000000000..d3ea7a1964f
--- /dev/null
+++ b/Filters/Points/vtkBoundedPointSource.cxx
@@ -0,0 +1,154 @@
+/*=========================================================================
+
+ Program: Visualization Toolkit
+ Module: vtkBoundedPointSource.cxx
+
+ Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen
+ All rights reserved.
+ See Copyright.txt or http://www.kitware.com/Copyright.htm for details.
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE. See the above copyright notice for more information.
+
+=========================================================================*/
+#include "vtkBoundedPointSource.h"
+
+#include "vtkCellArray.h"
+#include "vtkMath.h"
+#include "vtkInformation.h"
+#include "vtkInformationVector.h"
+#include "vtkObjectFactory.h"
+#include "vtkPoints.h"
+#include "vtkPolyData.h"
+#include "vtkFloatArray.h"
+#include "vtkPointData.h"
+
+vtkStandardNewMacro(vtkBoundedPointSource);
+
+//----------------------------------------------------------------------------
+vtkBoundedPointSource::vtkBoundedPointSource()
+{
+ this->NumberOfPoints = 100;
+
+ this->Bounds[0] = this->Bounds[2] = this->Bounds[4] = -1.0;
+ this->Bounds[1] = this->Bounds[3] = this->Bounds[5] = 1.0;
+
+ this->OutputPointsPrecision = SINGLE_PRECISION;
+
+ this->ProduceCellOutput = false;
+
+ this->ProduceRandomScalars = false;
+ this->ScalarRange[0] = 0.0;
+ this->ScalarRange[1] = 1.0;
+
+ this->SetNumberOfInputPorts(0);
+}
+
+//----------------------------------------------------------------------------
+int vtkBoundedPointSource::RequestData(
+ vtkInformation *vtkNotUsed(request),
+ vtkInformationVector **vtkNotUsed(inputVector),
+ vtkInformationVector *outputVector)
+{
+ // get the info object
+ vtkInformation *outInfo = outputVector->GetInformationObject(0);
+
+ // get the ouptut
+ vtkPolyData *output = vtkPolyData::SafeDownCast(
+ outInfo->Get(vtkDataObject::DATA_OBJECT()));
+
+ vtkIdType ptId;
+ double x[3];
+
+ vtkPoints *newPoints = vtkPoints::New();
+ // Set the desired precision for the points in the output.
+ if(this->OutputPointsPrecision == vtkAlgorithm::DOUBLE_PRECISION)
+ {
+ newPoints->SetDataType(VTK_DOUBLE);
+ }
+ else
+ {
+ newPoints->SetDataType(VTK_FLOAT);
+ }
+
+ // Generate the points
+ newPoints->SetNumberOfPoints(this->NumberOfPoints);
+ double xmin = (this->Bounds[0] < this->Bounds[1] ? this->Bounds[0] : this->Bounds[1]);
+ double xmax = (this->Bounds[0] < this->Bounds[1] ? this->Bounds[1] : this->Bounds[0]);
+ double ymin = (this->Bounds[2] < this->Bounds[3] ? this->Bounds[2] : this->Bounds[3]);
+ double ymax = (this->Bounds[2] < this->Bounds[3] ? this->Bounds[3] : this->Bounds[2]);
+ double zmin = (this->Bounds[4] < this->Bounds[5] ? this->Bounds[4] : this->Bounds[5]);
+ double zmax = (this->Bounds[4] < this->Bounds[5] ? this->Bounds[5] : this->Bounds[4]);
+
+ vtkMath *math = vtkMath::New();
+ for (ptId=0; ptId<this->NumberOfPoints; ptId++)
+ {
+ x[0] = math->Random(xmin,xmax);
+ x[1] = math->Random(ymin,ymax);
+ x[2] = math->Random(zmin,zmax);
+ newPoints->SetPoint(ptId,x);
+ }
+ output->SetPoints(newPoints);
+ newPoints->Delete();
+
+ // Generate the scalars if requested
+ if ( this->ProduceRandomScalars )
+ {
+ vtkFloatArray *scalars = vtkFloatArray::New();
+ scalars->SetName("RandomScalars");
+ scalars->SetNumberOfTuples(this->NumberOfPoints);
+ float *s = static_cast<float*>(scalars->GetVoidPointer(0));
+ double sMin = (this->ScalarRange[0] < this->ScalarRange[1] ?
+ this->ScalarRange[0] : this->ScalarRange[1]);
+ double sMax = (this->ScalarRange[0] < this->ScalarRange[1] ?
+ this->ScalarRange[1] : this->ScalarRange[0]);
+ for (ptId=0; ptId<this->NumberOfPoints; ptId++)
+ {
+ *s++ = math->Random(sMin,sMax);
+ }
+ output->GetPointData()->SetScalars(scalars);
+ scalars->Delete();
+ }
+
+ // Generate the vertices if requested
+ if ( this->ProduceCellOutput )
+ {
+ vtkCellArray *newVerts = vtkCellArray::New();
+ newVerts->Allocate(newVerts->EstimateSize(1,this->NumberOfPoints));
+ newVerts->InsertNextCell(this->NumberOfPoints);
+ for (ptId=0; ptId<this->NumberOfPoints; ptId++)
+ {
+ newVerts->InsertCellPoint(ptId);
+ }
+ output->SetVerts(newVerts);
+ newVerts->Delete();
+ }
+
+ math->Delete();
+ return 1;
+}
+
+//----------------------------------------------------------------------------
+void vtkBoundedPointSource::PrintSelf(ostream& os, vtkIndent indent)
+{
+ this->Superclass::PrintSelf(os,indent);
+
+ os << indent << "Number Of Points: " << this->NumberOfPoints << "\n";
+
+ for(int i=0;i<6;i++)
+ {
+ os << indent << "Bounds[" << i << "]: " << this->Bounds[i] << "\n";
+ }
+
+ os << indent << "Output Points Precision: " << this->OutputPointsPrecision << "\n";
+
+ os << indent << "Produce Cell Output: "
+ << (this->ProduceCellOutput ? "On\n" : "Off\n");
+
+ os << indent << "Produce Random Scalars: "
+ << (this->ProduceRandomScalars ? "On\n" : "Off\n");
+ os << indent << "Scalar Range (" << this->ScalarRange[0] << ","
+ << this->ScalarRange[1] << ")\n";
+
+}
diff --git a/Filters/Points/vtkBoundedPointSource.h b/Filters/Points/vtkBoundedPointSource.h
new file mode 100644
index 00000000000..271533ff7b7
--- /dev/null
+++ b/Filters/Points/vtkBoundedPointSource.h
@@ -0,0 +1,98 @@
+/*=========================================================================
+
+ Program: Visualization Toolkit
+ Module: vtkBoundedPointSource.h
+
+ Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen
+ All rights reserved.
+ See Copyright.txt or http://www.kitware.com/Copyright.htm for details.
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE. See the above copyright notice for more information.
+
+=========================================================================*/
+// .NAME vtkBoundedPointSource - create a random cloud of points within a
+// specified bounding box
+
+// .SECTION Description
+// vtkBoundedPointSource is a source object that creates a user-specified
+// number of points within a specified bounding box. The points are scattered
+// randomly throughout the box. Optionally, the user can produce a
+// vtkPolyVertex cell as well as random scalar values within a specified
+// range. The class is typically used for debugging and testing, as well as
+// seeding streamlines.
+
+#ifndef vtkBoundedPointSource_h
+#define vtkBoundedPointSource_h
+
+#include "vtkFiltersPointsModule.h" // For export macro
+#include "vtkPolyDataAlgorithm.h"
+
+class VTKFILTERSPOINTS_EXPORT vtkBoundedPointSource : public vtkPolyDataAlgorithm
+{
+public:
+ // Description:
+ // Standard methods for instantiation, type information and printing.
+ static vtkBoundedPointSource *New();
+ vtkTypeMacro(vtkBoundedPointSource,vtkPolyDataAlgorithm);
+ void PrintSelf(ostream& os, vtkIndent indent);
+
+ // Description:
+ // Set the number of points to generate.
+ vtkSetClampMacro(NumberOfPoints,vtkIdType,1,VTK_ID_MAX);
+ vtkGetMacro(NumberOfPoints,vtkIdType);
+
+ // Description:
+ // Set the bounding box for the point distribution. By default the bounds is
+ // (-1,1,-1,1,-1,1).
+ vtkSetVector6Macro(Bounds,double);
+ vtkGetVectorMacro(Bounds,double,6);
+
+ // Description:
+ // Set/get the desired precision for the output points.
+ // vtkAlgorithm::SINGLE_PRECISION - Output single-precision floating point.
+ // vtkAlgorithm::DOUBLE_PRECISION - Output double-precision floating point.
+ vtkSetMacro(OutputPointsPrecision,int);
+ vtkGetMacro(OutputPointsPrecision,int);
+
+ // Description:
+ // Indicate whether to produce a vtkPolyVertex cell to go along with the
+ // output vtkPoints generated. By default a cell is NOT produced. Some filters
+ // do not need the vtkPolyVertex which just consumes a lot of memory.
+ vtkSetMacro(ProduceCellOutput, bool);
+ vtkGetMacro(ProduceCellOutput, bool);
+ vtkBooleanMacro(ProduceCellOutput, bool);
+
+ // Description:
+ // Indicate whether to produce random point scalars in the output. By default
+ // this is off.
+ vtkSetMacro(ProduceRandomScalars, bool);
+ vtkGetMacro(ProduceRandomScalars, bool);
+ vtkBooleanMacro(ProduceRandomScalars, bool);
+
+ // Description:
+ // Set the range in which the random scalars should be produced. By default the
+ // scalar range is (0,1).
+ vtkSetVector2Macro(ScalarRange,double);
+ vtkGetVectorMacro(ScalarRange,double,2);
+
+protected:
+ vtkBoundedPointSource();
+ ~vtkBoundedPointSource() {}
+
+ int RequestData(vtkInformation *, vtkInformationVector **, vtkInformationVector *);
+
+ vtkIdType NumberOfPoints;
+ double Bounds[6];
+ int OutputPointsPrecision;
+ bool ProduceCellOutput;
+ bool ProduceRandomScalars;
+ double ScalarRange[2];
+
+private:
+ vtkBoundedPointSource(const vtkBoundedPointSource&) VTK_DELETE_FUNCTION;
+ void operator=(const vtkBoundedPointSource&) VTK_DELETE_FUNCTION;
+};
+
+#endif
diff --git a/Filters/Points/vtkEuclideanClusterExtraction.cxx b/Filters/Points/vtkEuclideanClusterExtraction.cxx
new file mode 100644
index 00000000000..4b3252287e6
--- /dev/null
+++ b/Filters/Points/vtkEuclideanClusterExtraction.cxx
@@ -0,0 +1,463 @@
+/*=========================================================================
+
+ Program: Visualization Toolkit
+ Module: vtkEuclideanClusterExtraction.cxx
+
+ Copyright (c) Kitware, Inc.
+ All rights reserved.
+ See LICENSE file for details.
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE. See the above copyright notice for more information.
+
+=========================================================================*/
+#include "vtkEuclideanClusterExtraction.h"
+
+#include "vtkPointSet.h"
+#include "vtkIdList.h"
+#include "vtkInformation.h"
+#include "vtkInformationVector.h"
+#include "vtkMath.h"
+#include "vtkObjectFactory.h"
+#include "vtkPointData.h"
+#include "vtkPoints.h"
+#include "vtkFloatArray.h"
+#include "vtkAbstractPointLocator.h"
+#include "vtkStaticPointLocator.h"
+#include "vtkIdTypeArray.h"
+
+vtkStandardNewMacro(vtkEuclideanClusterExtraction);
+vtkCxxSetObjectMacro(vtkEuclideanClusterExtraction,Locator,vtkAbstractPointLocator);
+
+//----------------------------------------------------------------------------
+// Construct with default extraction mode to extract largest cluster.
+vtkEuclideanClusterExtraction::vtkEuclideanClusterExtraction()
+{
+ this->ClusterSizes = vtkIdTypeArray::New();
+ this->ExtractionMode = VTK_EXTRACT_LARGEST_CLUSTER;
+ this->ColorClusters = false;
+
+ this->ScalarConnectivity = false;
+ this->ScalarRange[0] = 0.0;
+ this->ScalarRange[1] = 1.0;
+
+ this->ClosestPoint[0] = this->ClosestPoint[1] = this->ClosestPoint[2] = 0.0;
+
+ this->Locator = vtkStaticPointLocator::New();
+
+ this->NeighborScalars = vtkFloatArray::New();
+ this->NeighborScalars->Allocate(64);
+
+ this->NeighborPointIds = vtkIdList::New();
+ this->NeighborPointIds->Allocate(64);
+
+ this->Seeds = vtkIdList::New();
+ this->SpecifiedClusterIds = vtkIdList::New();
+
+ this->NewScalars = 0;
+
+}
+
+//----------------------------------------------------------------------------
+vtkEuclideanClusterExtraction::~vtkEuclideanClusterExtraction()
+{
+ this->SetLocator(NULL);
+ this->ClusterSizes->Delete();
+ this->NeighborScalars->Delete();
+ this->NeighborPointIds->Delete();
+ this->Seeds->Delete();
+ this->SpecifiedClusterIds->Delete();
+}
+
+//----------------------------------------------------------------------------
+int vtkEuclideanClusterExtraction::RequestData(
+ vtkInformation *vtkNotUsed(request),
+ vtkInformationVector **inputVector,
+ vtkInformationVector *outputVector)
+{
+ // get the info objects
+ vtkInformation *inInfo = inputVector[0]->GetInformationObject(0);
+ vtkInformation *outInfo = outputVector->GetInformationObject(0);
+
+ // get the input and output
+ vtkPointSet *input = vtkPointSet::SafeDownCast(
+ inInfo->Get(vtkDataObject::DATA_OBJECT()));
+ vtkPolyData *output = vtkPolyData::SafeDownCast(
+ outInfo->Get(vtkDataObject::DATA_OBJECT()));
+
+ vtkIdType numPts, i, ptId;
+ vtkPoints *newPts;
+ int maxPointsInCluster, clusterId, largestClusterId=0;
+ vtkPointData *pd=input->GetPointData(), *outputPD=output->GetPointData();
+
+ vtkDebugMacro(<<"Executing point clustering filter.");
+
+ // Check input/allocate storage
+ //
+ if ( (numPts=input->GetNumberOfPoints()) < 1 )
+ {
+ vtkDebugMacro(<<"No data to cluster!");
+ return 1;
+ }
+ vtkPoints *inPts = input->GetPoints();
+
+ // Need to build a locator
+ if ( !this->Locator )
+ {
+ vtkErrorMacro(<<"Point locator required\n");
+ return 0;
+ }
+ this->Locator->SetDataSet(input);
+ this->Locator->BuildLocator();
+
+ // See whether to consider scalar connectivity
+ //
+ this->InScalars = input->GetPointData()->GetScalars();
+ if ( !this->ScalarConnectivity )
+ {
+ this->InScalars = NULL;
+ }
+ else
+ {
+ this->NeighborScalars->SetNumberOfComponents(this->InScalars->GetNumberOfComponents());
+ if ( this->ScalarRange[1] < this->ScalarRange[0] )
+ {
+ this->ScalarRange[1] = this->ScalarRange[0];
+ }
+ }
+
+ // Initialize. Keep track of the points visited.
+ //
+ this->Visited = new char [numPts];
+ std::fill_n(this->Visited, numPts, static_cast<char>(0));
+
+ this->ClusterSizes->Reset();
+ this->PointMap = new vtkIdType[numPts];
+ std::fill_n(this->PointMap, numPts, static_cast<vtkIdType>(-1));
+
+ this->NewScalars = vtkIdTypeArray::New();
+ this->NewScalars->SetName("ClusterId");
+ this->NewScalars->SetNumberOfTuples(numPts);
+
+ newPts = vtkPoints::New();
+ newPts->SetDataType(input->GetPoints()->GetDataType());
+ newPts->Allocate(numPts);
+
+ // Traverse all points marking those visited. Each new search
+ // starts a new connected cluster. Connected clusters grow
+ // using a connected wave propagation.
+ //
+ this->Wave = vtkIdList::New();
+ this->Wave->Allocate(numPts/4+1,numPts);
+ this->Wave2 = vtkIdList::New();
+ this->Wave2->Allocate(numPts/4+1,numPts);
+
+ this->PointNumber = 0;
+ this->ClusterNumber = 0;
+ maxPointsInCluster = 0;
+
+ this->PointIds = vtkIdList::New();
+ this->PointIds->Allocate(8, VTK_CELL_SIZE);
+
+ if ( this->ExtractionMode != VTK_EXTRACT_POINT_SEEDED_CLUSTERS &&
+ this->ExtractionMode != VTK_EXTRACT_CLOSEST_POINT_CLUSTER )
+ { //visit all points assigning cluster number
+ for (ptId=0; ptId < numPts; ptId++)
+ {
+ if ( ptId && !(ptId % 10000) )
+ {
+ this->UpdateProgress (0.1 + 0.8*ptId/numPts);
+ }
+
+ if ( ! this->Visited[ptId] )
+ {
+ this->NumPointsInCluster = 0;
+ this->InsertIntoWave(this->Wave,ptId);
+ this->TraverseAndMark (inPts);
+
+ if ( this->NumPointsInCluster > maxPointsInCluster )
+ {
+ maxPointsInCluster = this->NumPointsInCluster;
+ largestClusterId = this->ClusterNumber;
+ }
+
+ if ( this->NumPointsInCluster > 0 )
+ {
+ this->ClusterSizes->InsertValue(this->ClusterNumber++,
+ this->NumPointsInCluster);
+ }
+ this->Wave->Reset();
+ this->Wave2->Reset();
+ }
+ }
+ }
+ else // clusters have been seeded, everything considered in same cluster
+ {
+ this->NumPointsInCluster = 0;
+
+ if ( this->ExtractionMode == VTK_EXTRACT_POINT_SEEDED_CLUSTERS )
+ {
+ this->NumPointsInCluster = 0;
+ for (i=0; i < this->Seeds->GetNumberOfIds(); i++)
+ {
+ ptId = this->Seeds->GetId(i);
+ if ( ptId >= 0 )
+ {
+ this->InsertIntoWave(this->Wave,ptId);
+ }
+ }
+ }
+ else if ( this->ExtractionMode == VTK_EXTRACT_CLOSEST_POINT_CLUSTER )
+ {//loop over points, find closest one
+ ptId = this->Locator->FindClosestPoint(this->ClosestPoint);
+ this->InsertIntoWave(this->Wave,ptId);
+ }
+ this->UpdateProgress (0.5);
+
+ //mark all seeded clusters
+ this->TraverseAndMark (inPts);
+ this->ClusterSizes->InsertValue(this->ClusterNumber,this->NumPointsInCluster);
+ this->UpdateProgress (0.9);
+ }
+
+ vtkDebugMacro (<<"Extracted " << this->ClusterNumber << " cluster(s)");
+ this->Wave->Delete();
+ this->Wave2->Delete();
+ delete [] this->Visited;
+
+ // Now that points have been marked, traverse the PointMap pulling
+ // everything that has been visited and is selected for output.
+ outputPD->CopyAllocate(pd);
+ if ( this->ExtractionMode == VTK_EXTRACT_POINT_SEEDED_CLUSTERS ||
+ this->ExtractionMode == VTK_EXTRACT_CLOSEST_POINT_CLUSTER ||
+ this->ExtractionMode == VTK_EXTRACT_ALL_CLUSTERS)
+ { // extract any point that's been visited
+ for (ptId=0; ptId < numPts; ptId++)
+ {
+ if ( this->PointMap[ptId] >= 0 )
+ {
+ newPts->InsertPoint(this->PointMap[ptId],inPts->GetPoint(ptId));
+ outputPD->CopyData(pd,ptId,this->PointMap[ptId]);
+ }
+ }
+ }
+ else if ( this->ExtractionMode == VTK_EXTRACT_SPECIFIED_CLUSTERS )
+ {
+ bool inCluster;
+ for (ptId=0; ptId < numPts; ptId++)
+ {
+ if ( this->PointMap[ptId] >= 0 )
+ {
+ clusterId = this->NewScalars->GetValue(this->PointMap[ptId]);
+ for (inCluster=false,i=0; i<this->SpecifiedClusterIds->GetNumberOfIds(); i++)
+ {
+ if ( clusterId == this->SpecifiedClusterIds->GetId(i) )
+ {
+ inCluster = true;
+ break;
+ }
+ }
+ if ( inCluster )
+ {
+ newPts->InsertPoint(this->PointMap[ptId],inPts->GetPoint(ptId));
+ outputPD->CopyData(pd,ptId,this->PointMap[ptId]);
+ }
+ }
+ }
+ }
+ else //extract largest cluster
+ {
+ for (ptId=0; ptId < numPts; ptId++)
+ {
+ if ( this->PointMap[ptId] >= 0 )
+ {
+ clusterId = this->NewScalars->GetValue(this->PointMap[ptId]);
+ if ( clusterId == largestClusterId )
+ {
+ newPts->InsertPoint(this->PointMap[ptId],inPts->GetPoint(ptId));
+ outputPD->CopyData(pd,ptId,this->PointMap[ptId]);
+ }
+ }
+ }
+ }
+
+ // if coloring clusters; send down new scalar data
+ if ( this->ColorClusters )
+ {
+ int idx = outputPD->AddArray(this->NewScalars);
+ outputPD->SetActiveAttribute(idx, vtkDataSetAttributes::SCALARS);
+ }
+ this->NewScalars->Delete();
+
+ newPts->Squeeze();
+ output->SetPoints(newPts);
+
+ delete [] this->PointMap;
+ this->PointIds->Delete();
+
+ // print out some debugging information
+ int num = this->GetNumberOfExtractedClusters();
+ int count = 0;
+
+ for (int ii = 0; ii < num; ii++)
+ {
+ count += this->ClusterSizes->GetValue (ii);
+ }
+ vtkDebugMacro (<< "Total # of points accounted for: " << count);
+ vtkDebugMacro (<< "Extracted " << newPts->GetNumberOfPoints() << " points");
+ newPts->Delete();
+
+ return 1;
+}
+
+
+//----------------------------------------------------------------------------
+// Insert point into connected wave. Check to make sure it satisfies connectivity
+// criterion (if enabled).
+void vtkEuclideanClusterExtraction::
+InsertIntoWave(vtkIdList *wave, vtkIdType ptId)
+{
+ this->Visited[ptId] = 1;
+ if ( this->InScalars ) //is scalar connectivity enabled?
+ {
+ double s = this->InScalars->GetTuple1(ptId);
+ if ( s >= this->ScalarRange[0] && s <= this->ScalarRange[1] )
+ {
+ wave->InsertNextId(ptId);
+ }
+ }
+ else
+ {
+ wave->InsertNextId(ptId);
+ }
+}
+
+
+//----------------------------------------------------------------------------
+// Update current point information including updating cluster number. Note:
+// traversal occurs across proximally located points, possibly limited by
+// scalar connectivty.
+//
+void vtkEuclideanClusterExtraction::TraverseAndMark (vtkPoints *inPts)
+{
+ vtkIdType i, j, numPts, numIds, ptId;
+ vtkIdList *tmpWave;
+ double x[3];
+
+ while ( (numIds=this->Wave->GetNumberOfIds()) > 0 )
+ {
+ for ( i=0; i < numIds; i++ ) //for all points in this wave
+ {
+ ptId = this->Wave->GetId(i);
+ this->PointMap[ptId] = this->PointNumber++;
+ this->NewScalars->SetValue(this->PointMap[ptId],this->ClusterNumber);
+ this->NumPointsInCluster++;
+
+ inPts->GetPoint(ptId,x);
+ this->Locator->FindPointsWithinRadius(this->Radius,x,this->NeighborPointIds);
+
+ numPts = this->NeighborPointIds->GetNumberOfIds();
+ for (j=0; j < numPts; ++j)
+ {
+ ptId = this->NeighborPointIds->GetId(j);
+ if ( ! this->Visited[ptId] )
+ {
+ this->InsertIntoWave(this->Wave2,ptId);
+ }//if point not yet visited
+ }//for all neighbors
+ }//for all cells in this connected wave
+
+ tmpWave = this->Wave;
+ this->Wave = this->Wave2;
+ this->Wave2 = tmpWave;
+ tmpWave->Reset();
+ } //while wave is not empty
+
+ return;
+}
+
+//----------------------------------------------------------------------------
+// Obtain the number of connected clusters.
+int vtkEuclideanClusterExtraction::GetNumberOfExtractedClusters()
+{
+ return this->ClusterSizes->GetMaxId() + 1;
+}
+
+//----------------------------------------------------------------------------
+// Initialize list of point ids used to seed clusters.
+void vtkEuclideanClusterExtraction::InitializeSeedList()
+{
+ this->Modified();
+ this->Seeds->Reset();
+}
+
+//----------------------------------------------------------------------------
+// Add a seed id. Note: ids are 0-offset.
+void vtkEuclideanClusterExtraction::AddSeed(vtkIdType id)
+{
+ this->Modified();
+ this->Seeds->InsertNextId(id);
+}
+
+//----------------------------------------------------------------------------
+// Delete a seed id. Note: ids are 0-offset.
+void vtkEuclideanClusterExtraction::DeleteSeed(vtkIdType id)
+{
+ this->Modified();
+ this->Seeds->DeleteId(id);
+}
+
+//----------------------------------------------------------------------------
+// Initialize list of cluster ids to extract.
+void vtkEuclideanClusterExtraction::InitializeSpecifiedClusterList()
+{
+ this->Modified();
+ this->SpecifiedClusterIds->Reset();
+}
+
+//----------------------------------------------------------------------------
+// Add a cluster id to extract. Note: ids are 0-offset.
+void vtkEuclideanClusterExtraction::AddSpecifiedCluster(int id)
+{
+ this->Modified();
+ this->SpecifiedClusterIds->InsertNextId(id);
+}
+
+//----------------------------------------------------------------------------
+// Delete a cluster id to extract. Note: ids are 0-offset.
+void vtkEuclideanClusterExtraction::DeleteSpecifiedCluster(int id)
+{
+ this->Modified();
+ this->SpecifiedClusterIds->DeleteId(id);
+}
+
+//----------------------------------------------------------------------------
+int vtkEuclideanClusterExtraction::
+FillInputPortInformation(int, vtkInformation *info)
+{
+ info->Set(vtkAlgorithm::INPUT_REQUIRED_DATA_TYPE(), "vtkPointSet");
+ return 1;
+}
+
+//----------------------------------------------------------------------------
+void vtkEuclideanClusterExtraction::PrintSelf(ostream& os, vtkIndent indent)
+{
+ this->Superclass::PrintSelf(os,indent);
+
+ os << indent << "Extraction Mode: ";
+ os << this->GetExtractionModeAsString() << "\n";
+
+ os << indent << "Closest Point: (" << this->ClosestPoint[0] << ", "
+ << this->ClosestPoint[1] << ", " << this->ClosestPoint[2] << ")\n";
+
+ os << indent << "Color Clusters: " << (this->ColorClusters ? "On\n" : "Off\n");
+
+ os << indent << "Scalar Connectivity: "
+ << (this->ScalarConnectivity ? "On\n" : "Off\n");
+
+ double *range = this->GetScalarRange();
+ os << indent << "Scalar Range: (" << range[0] << ", " << range[1] << ")\n";
+
+ os << indent << "Locator: " << this->Locator << "\n";
+}
diff --git a/Filters/Points/vtkEuclideanClusterExtraction.h b/Filters/Points/vtkEuclideanClusterExtraction.h
new file mode 100644
index 00000000000..35fe8ebd50c
--- /dev/null
+++ b/Filters/Points/vtkEuclideanClusterExtraction.h
@@ -0,0 +1,233 @@
+/*=========================================================================
+
+ Program: Visualization Toolkit
+ Module: vtkEuclideanClusterExtraction.h
+
+ Copyright (c) Kitware, Inc.
+ All rights reserved.
+ See LICENSE file for details.
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE. See the above copyright notice for more information.
+
+=========================================================================*/
+// .NAME vtkEuclideanClusterExtraction - perform segmentation based on geometric
+// proximity and optional scalar threshold
+// .SECTION Description
+// vtkEuclideanClusterExtraction is a filter that extracts points that are in
+// close geometric proximity, and optionally satisfies a scalar threshold
+// criterion. (Points extracted in this way are referred to as clusters.)
+// The filter works in one of five ways: 1) extract the largest cluster in the
+// dataset; 2) extract specified cluster number(s); 3) extract all clusters
+// containing specified point ids; 4) extract the cluster closest to a specified
+// point; or 5) extract all clusters (which can be used for coloring the clusters).
+//
+// Note that geometric proximity is defined by setting the Radius instance
+// variable. This variable defines a local sphere around each point; other
+// points contained in this sphere are considered "connected" to the
+// point. Setting this number too large will connect clusters that should not
+// be; setting it too small will fragment the point cloud into myriad
+// clusters. To accelerate the geometric proximity operations, a point
+// locator may be specified. By default, a vtkStaticPointLocator is used, but
+// any vtkAbstractPointLocator may be specified.
+//
+// The behavior of vtkEuclideanClusterExtraction can be modified by turning
+// on the boolean ivar ScalarConnectivity. If this flag is on, the clustering
+// algorithm is modified so that points are considered part of a cluster if
+// they satisfy both the geometric proximity measure, and the points scalar
+// values falls into the scalar range specified. This use of
+// ScalarConnectivity is particularly useful for data with intensity or color
+// information, serving as a simple "connected segmentation" algorithm. For
+// example, by using a seed point in a known cluster, clustering will pull
+// out all points "representing" the local structure.
+
+// .SECTION See Also
+// vtkConnectivityFilter vtkPolyDataConnectivityFilter
+
+#ifndef vtkEuclideanClusterExtraction_h
+#define vtkEuclideanClusterExtraction_h
+
+#include "vtkFiltersPointsModule.h" // For export macro
+#include "vtkPolyDataAlgorithm.h"
+
+#define VTK_EXTRACT_POINT_SEEDED_CLUSTERS 1
+#define VTK_EXTRACT_SPECIFIED_CLUSTERS 2
+#define VTK_EXTRACT_LARGEST_CLUSTER 3
+#define VTK_EXTRACT_ALL_CLUSTERS 4
+#define VTK_EXTRACT_CLOSEST_POINT_CLUSTER 5
+
+class vtkDataArray;
+class vtkFloatArray;
+class vtkIdList;
+class vtkIdTypeArray;
+class vtkAbstractPointLocator;
+
+
+class VTKFILTERSPOINTS_EXPORT vtkEuclideanClusterExtraction : public vtkPolyDataAlgorithm
+{
+public:
+ vtkTypeMacro(vtkEuclideanClusterExtraction,vtkPolyDataAlgorithm);
+ void PrintSelf(ostream& os, vtkIndent indent);
+
+ // Description:
+ // Construct with default extraction mode to extract largest clusters.
+ static vtkEuclideanClusterExtraction *New();
+
+ // Description:
+ // Specify the local search radius.
+ vtkSetClampMacro(Radius,double,0.0,VTK_FLOAT_MAX);
+ vtkGetMacro(Radius,double);
+
+ // Description:
+ // Turn on/off connectivity based on scalar value. If on, points are
+ // connected only if the are proximal AND the scalar value of a candiate
+ // point falls in the scalar range specified. Of course input point scalar
+ // data must be provided.
+ vtkSetMacro(ScalarConnectivity,bool);
+ vtkGetMacro(ScalarConnectivity,bool);
+ vtkBooleanMacro(ScalarConnectivity,bool);
+
+ // Description:
+ // Set the scalar range used to extract points based on scalar connectivity.
+ vtkSetVector2Macro(ScalarRange,double);
+ vtkGetVector2Macro(ScalarRange,double);
+
+ // Description:
+ // Control the extraction of connected surfaces.
+ vtkSetClampMacro(ExtractionMode,int,
+ VTK_EXTRACT_POINT_SEEDED_CLUSTERS,VTK_EXTRACT_CLOSEST_POINT_CLUSTER);
+ vtkGetMacro(ExtractionMode,int);
+ void SetExtractionModeToPointSeededClusters()
+ {this->SetExtractionMode(VTK_EXTRACT_POINT_SEEDED_CLUSTERS);};
+ void SetExtractionModeToLargestCluster()
+ {this->SetExtractionMode(VTK_EXTRACT_LARGEST_CLUSTER);};
+ void SetExtractionModeToSpecifiedClusters()
+ {this->SetExtractionMode(VTK_EXTRACT_SPECIFIED_CLUSTERS);};
+ void SetExtractionModeToClosestPointCluster()
+ {this->SetExtractionMode(VTK_EXTRACT_CLOSEST_POINT_CLUSTER);};
+ void SetExtractionModeToAllClusters()
+ {this->SetExtractionMode(VTK_EXTRACT_ALL_CLUSTERS);};
+ const char *GetExtractionModeAsString();
+
+ // Description:
+ // Initialize the list of point ids used to seed clusters.
+ void InitializeSeedList();
+
+ // Description:
+ // Add a seed id (point id). Note: ids are 0-offset.
+ void AddSeed(vtkIdType id);
+
+ // Description:
+ // Delete a seed id.a
+ void DeleteSeed(vtkIdType id);
+
+ // Description:
+ // Initialize the list of cluster ids to extract.
+ void InitializeSpecifiedClusterList();
+
+ // Description:
+ // Add a cluster id to extract. Note: ids are 0-offset.
+ void AddSpecifiedCluster(int id);
+
+ // Description:
+ // Delete a cluster id to extract.
+ void DeleteSpecifiedCluster(int id);
+
+ // Description:
+ // Used to specify the x-y-z point coordinates when extracting the cluster
+ // closest to a specified point.
+ vtkSetVector3Macro(ClosestPoint,double);
+ vtkGetVectorMacro(ClosestPoint,double,3);
+
+ // Description:
+ // Obtain the number of connected clusters. This value is valid only after filter execution.
+ int GetNumberOfExtractedClusters();
+
+ // Description:
+ // Turn on/off the coloring of connected clusters.
+ vtkSetMacro(ColorClusters,bool);
+ vtkGetMacro(ColorClusters,bool);
+ vtkBooleanMacro(ColorClusters,bool);
+
+ // Description:
+ // Specify a point locator. By default a vtkStaticPointLocator is
+ // used. The locator performs efficient proximity searches near a
+ // specified interpolation position.
+ void SetLocator(vtkAbstractPointLocator *locator);
+ vtkGetObjectMacro(Locator,vtkAbstractPointLocator);
+
+protected:
+ vtkEuclideanClusterExtraction();
+ ~vtkEuclideanClusterExtraction();
+
+ double Radius; //connection radius
+ bool ColorClusters; //boolean turns on/off scalar gen for separate clusters
+ int ExtractionMode; //how to extract clusters
+ vtkIdList *Seeds; //id's of points or cells used to seed clusters
+ vtkIdList *SpecifiedClusterIds; //clusters specified for extraction
+ vtkIdTypeArray *ClusterSizes; //size (in cells) of each cluster extracted
+
+ double ClosestPoint[3];
+
+ bool ScalarConnectivity;
+ double ScalarRange[2];
+
+ vtkAbstractPointLocator *Locator;
+
+ // Configure the pipeline
+ virtual int RequestData(vtkInformation *, vtkInformationVector **,
+ vtkInformationVector *);
+ virtual int FillInputPortInformation(int port, vtkInformation *info);
+
+ // Internal method for propagating connected waves.
+ void InsertIntoWave(vtkIdList *wave, vtkIdType ptId);
+ void TraverseAndMark(vtkPoints *pts);
+
+private:
+ vtkEuclideanClusterExtraction(const vtkEuclideanClusterExtraction&) VTK_DELETE_FUNCTION;
+ void operator=(const vtkEuclideanClusterExtraction&) VTK_DELETE_FUNCTION;
+
+ // used to support algorithm execution
+ vtkFloatArray *NeighborScalars;
+ vtkIdList *NeighborPointIds;
+ char *Visited;
+ vtkIdType *PointMap;
+ vtkIdTypeArray *NewScalars;
+ vtkIdType ClusterNumber;
+ vtkIdType PointNumber;
+ vtkIdType NumPointsInCluster;
+ vtkDataArray *InScalars;
+ vtkIdList *Wave;
+ vtkIdList *Wave2;
+ vtkIdList *PointIds;
+
+};
+
+// Description:
+// Return the method of extraction as a string.
+inline const char *vtkEuclideanClusterExtraction::GetExtractionModeAsString(void)
+{
+ if ( this->ExtractionMode == VTK_EXTRACT_POINT_SEEDED_CLUSTERS )
+ {
+ return "ExtractPointSeededClusters";
+ }
+ else if ( this->ExtractionMode == VTK_EXTRACT_SPECIFIED_CLUSTERS )
+ {
+ return "ExtractSpecifiedClusters";
+ }
+ else if ( this->ExtractionMode == VTK_EXTRACT_ALL_CLUSTERS )
+ {
+ return "ExtractAllClusters";
+ }
+ else if ( this->ExtractionMode == VTK_EXTRACT_CLOSEST_POINT_CLUSTER )
+ {
+ return "ExtractClosestPointCluster";
+ }
+ else
+ {
+ return "ExtractLargestCluster";
+ }
+}
+
+#endif
diff --git a/Filters/Points/vtkExtractHierarchicalBins.cxx b/Filters/Points/vtkExtractHierarchicalBins.cxx
new file mode 100644
index 00000000000..8344407ab11
--- /dev/null
+++ b/Filters/Points/vtkExtractHierarchicalBins.cxx
@@ -0,0 +1,102 @@
+/*=========================================================================
+
+ Program: Visualization Toolkit
+ Module: vtkExtractHierarchicalBins.cxx
+
+ Copyright (c) Kitware, Inc.
+ All rights reserved.
+ See LICENSE file for details.
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE. See the above copyright notice for more information.
+
+=========================================================================*/
+#include "vtkExtractHierarchicalBins.h"
+
+#include "vtkObjectFactory.h"
+#include "vtkPointSet.h"
+#include "vtkPoints.h"
+#include "vtkDataArray.h"
+#include "vtkHierarchicalBinningFilter.h"
+
+vtkStandardNewMacro(vtkExtractHierarchicalBins);
+vtkCxxSetObjectMacro(vtkExtractHierarchicalBins,BinningFilter,vtkHierarchicalBinningFilter);
+
+//----------------------------------------------------------------------------
+// Helper classes to support efficient computing, and threaded execution.
+namespace {
+
+//----------------------------------------------------------------------------
+// Mark points to be extracted
+static void MaskPoints(vtkIdType numPts, vtkIdType *map, vtkIdType offset,
+ vtkIdType numFill)
+{
+ std::fill_n(map, offset, static_cast<vtkIdType>(-1));
+ std::fill_n(map+offset, numFill, static_cast<vtkIdType>(1));
+ std::fill_n(map+offset+numFill, numPts-(offset+numFill), static_cast<vtkIdType>(-1));
+}
+
+} //anonymous namespace
+
+//================= Begin class proper =======================================
+//----------------------------------------------------------------------------
+vtkExtractHierarchicalBins::vtkExtractHierarchicalBins()
+{
+ this->Level = 0;
+ this->Bin = -1;
+ this->BinningFilter = NULL;
+}
+
+//----------------------------------------------------------------------------
+vtkExtractHierarchicalBins::~vtkExtractHierarchicalBins()
+{
+ this->SetBinningFilter(NULL);
+}
+
+//----------------------------------------------------------------------------
+// Traverse all the input points and extract points that are contained within
+// and implicit function.
+int vtkExtractHierarchicalBins::FilterPoints(vtkPointSet *input)
+{
+ // Check the input.
+ if ( !this->BinningFilter )
+ {
+ vtkErrorMacro(<<"vtkHierarchicalBinningFilter required\n");
+ return 0;
+ }
+
+ // Access the correct bin and determine how many points to extract.
+ vtkIdType offset;
+ vtkIdType numFill;
+
+ if ( this->Level >= 0 )
+ {
+ offset = this->BinningFilter->GetLevelOffset(this->Level, numFill);
+ }
+ else if ( this->Bin >= 0 )
+ {
+ offset = this->BinningFilter->GetBinOffset(this->Bin, numFill);
+ }
+ else //pass everything through
+ {
+ return 1;
+ }
+
+ vtkIdType numPts = input->GetNumberOfPoints();
+ MaskPoints(numPts, this->PointMap, offset, numFill);
+
+ return 1;
+}
+
+//----------------------------------------------------------------------------
+void vtkExtractHierarchicalBins::PrintSelf(ostream& os, vtkIndent indent)
+{
+ this->Superclass::PrintSelf(os,indent);
+
+ os << indent << "Level: " << this->Level << "\n";
+ os << indent << "Bin: " << this->Bin << "\n";
+ os << indent << "Binning Filter: "
+ << static_cast<void *>(this->BinningFilter) << "\n";
+
+}
diff --git a/Filters/Points/vtkExtractHierarchicalBins.h b/Filters/Points/vtkExtractHierarchicalBins.h
new file mode 100644
index 00000000000..c73b1493ca6
--- /dev/null
+++ b/Filters/Points/vtkExtractHierarchicalBins.h
@@ -0,0 +1,102 @@
+/*=========================================================================
+
+ Program: Visualization Toolkit
+ Module: vtkExtractHierarchicalBins.h
+
+ Copyright (c) Kitware, Inc.
+ All rights reserved.
+ See LICENSE file for details.
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE. See the above copyright notice for more information.
+
+=========================================================================*/
+// .NAME vtkExtractHierarchicalBins - manipulate the output of
+// vtkHierarchicalBinningFilter
+
+// .SECTION Description
+// vtkExtractHierarchicalBins enables users to extract data from the output
+// of vtkHierarchicalBinningFilter. Points at a particular level, or at a
+// level and bin number, can be filtered to the output. To perform these
+// operations, the output must contain points sorted into bins (the
+// vtkPoints), with offsets pointing to the beginning of each bin (a
+// vtkFieldData array named "BinOffsets").
+//
+
+// .SECTION Caveats
+// This class has been threaded with vtkSMPTools. Using TBB or other
+// non-sequential type (set in the CMake variable
+// VTK_SMP_IMPLEMENTATION_TYPE) may improve performance significantly.
+
+// .SECTION See Also
+// vtkFiltersPointsFilter vtkRadiusOutlierRemoval vtkStatisticalOutlierRemoval
+// vtkThresholdPoints vtkImplicitFunction vtkExtractGeoemtry
+// vtkFitImplicitFunction
+
+#ifndef vtkExtractHierarchicalBins_h
+#define vtkExtractHierarchicalBins_h
+
+#include "vtkFiltersPointsModule.h" // For export macro
+#include "vtkPointCloudFilter.h"
+
+class vtkHierarchicalBinningFilter;
+class vtkPointSet;
+
+
+class VTKFILTERSPOINTS_EXPORT vtkExtractHierarchicalBins : public vtkPointCloudFilter
+{
+public:
+ // Description:
+ // Standard methods for instantiating, obtaining type information, and
+ // printing information.
+ static vtkExtractHierarchicalBins *New();
+ vtkTypeMacro(vtkExtractHierarchicalBins,vtkPointCloudFilter);
+ void PrintSelf(ostream& os, vtkIndent indent);
+
+ // Description:
+ // Specify the level to extract. If non-negative, with a negative bin
+ // number, then all points at this level are extracted and sent to the
+ // output. If negative, then the points from the specified bin are sent to
+ // the output. If both the level and bin number are negative values, then the
+ // input is sent to the output. By default the 0th level is extracted.
+ vtkSetMacro(Level,int);
+ vtkGetMacro(Level,int);
+
+ // Description:
+ // Specify the bin number to extract. If a non-negative value, then the
+ // points from the bin number specified are extracted. If negative, then
+ // entire levels of points are extacted (assuming the Level is
+ // non-negative). Note that the bin tree is flattened, a particular
+ // bin number may refer to a bin on any level.
+ vtkSetMacro(Bin,int);
+ vtkGetMacro(Bin,int);
+
+ // Description:
+ // Specify the vtkHierarchicalBinningFilter to query for relavant
+ // information. Make sure that this filter has executed prior to the execution of
+ // this filter. (This is generally a safe bet if connected in a pipeline.)
+ virtual void SetBinningFilter(vtkHierarchicalBinningFilter*);
+ vtkGetObjectMacro(BinningFilter,vtkHierarchicalBinningFilter);
+
+
+protected:
+ vtkExtractHierarchicalBins();
+ ~vtkExtractHierarchicalBins();
+
+ // Users can extract points from a particular level or bin.
+ int Level;
+ int Bin;
+ vtkHierarchicalBinningFilter *BinningFilter;
+
+ // All derived classes must implement this method. Note that a side effect of
+ // the class is to populate the PointMap. Zero is returned if there is a failure.
+ virtual int FilterPoints(vtkPointSet *input);
+
+private:
+ vtkExtractHierarchicalBins(const vtkExtractHierarchicalBins&) VTK_DELETE_FUNCTION;
+ void operator=(const vtkExtractHierarchicalBins&) VTK_DELETE_FUNCTION;
+
+};
+
+#endif
diff --git a/Filters/Points/vtkExtractPointCloudPiece.cxx b/Filters/Points/vtkExtractPointCloudPiece.cxx
new file mode 100644
index 00000000000..e1a4232bc88
--- /dev/null
+++ b/Filters/Points/vtkExtractPointCloudPiece.cxx
@@ -0,0 +1,137 @@
+/*=========================================================================
+
+ Program: Visualization Toolkit
+ Module: vtkExtractPointCloudPiece.cxx
+
+ Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen
+ All rights reserved.
+ See Copyright.txt or http://www.kitware.com/Copyright.htm for details.
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE. See the above copyright notice for more information.
+
+=========================================================================*/
+#include "vtkExtractPointCloudPiece.h"
+
+#include "vtkInformation.h"
+#include "vtkInformationVector.h"
+#include "vtkNew.h"
+#include "vtkObjectFactory.h"
+#include "vtkPointData.h"
+// #include "vtkPolyData.h"
+#include "vtkStreamingDemandDrivenPipeline.h"
+#include "vtkDoubleArray.h"
+
+vtkStandardNewMacro(vtkExtractPointCloudPiece);
+
+//-----------------------------------------------------------------------------
+vtkExtractPointCloudPiece::vtkExtractPointCloudPiece()
+{
+ this->ModuloOrdering = true;
+}
+
+//-----------------------------------------------------------------------------
+int vtkExtractPointCloudPiece::RequestUpdateExtent(
+ vtkInformation *vtkNotUsed(request),
+ vtkInformationVector **inputVector,
+ vtkInformationVector *vtkNotUsed(outputVector))
+{
+ // get the info object
+ vtkInformation *inInfo = inputVector[0]->GetInformationObject(0);
+
+ inInfo->Set(vtkStreamingDemandDrivenPipeline::UPDATE_PIECE_NUMBER(), 0);
+ inInfo->Set(vtkStreamingDemandDrivenPipeline::UPDATE_NUMBER_OF_PIECES(), 1);
+ inInfo->Set(vtkStreamingDemandDrivenPipeline::UPDATE_NUMBER_OF_GHOST_LEVELS(), 0);
+
+ return 1;
+}
+
+//-----------------------------------------------------------------------------
+int vtkExtractPointCloudPiece::RequestData(
+ vtkInformation *vtkNotUsed(request),
+ vtkInformationVector **inputVector,
+ vtkInformationVector *outputVector)
+{
+ // get the info objects
+ vtkInformation *inInfo = inputVector[0]->GetInformationObject(0);
+ vtkInformation *outInfo = outputVector->GetInformationObject(0);
+
+ // get the input and output
+ vtkPolyData *input = vtkPolyData::SafeDownCast(
+ inInfo->Get(vtkDataObject::DATA_OBJECT()));
+ vtkPolyData *output = vtkPolyData::SafeDownCast(
+ outInfo->Get(vtkDataObject::DATA_OBJECT()));
+
+ // handle field data
+ vtkFieldData *fd = input->GetFieldData();
+ vtkFieldData *outFD = output->GetFieldData();
+ vtkDataArray *offsets = fd->GetArray("BinOffsets");
+ // we wipe the field data as the early viesion of the binner
+ // was producing some huge field data that was killing file IO times
+ outFD->Initialize();
+
+ // Pipeline update piece will tell us what to generate.
+ int piece = outInfo->Get(vtkStreamingDemandDrivenPipeline::UPDATE_PIECE_NUMBER());
+
+ vtkIdType startIndex, endIndex;
+ if (vtkIntArray::SafeDownCast(offsets))
+ {
+ vtkIntArray *ioffs = vtkIntArray::SafeDownCast(offsets);
+ startIndex = ioffs->GetValue(piece);
+ endIndex = ioffs->GetValue(piece+1);
+ }
+ else
+ {
+ vtkIdTypeArray *ioffs = vtkIdTypeArray::SafeDownCast(offsets);
+ startIndex = ioffs->GetValue(piece);
+ endIndex = ioffs->GetValue(piece+1);
+ }
+
+ vtkIdType numPts = endIndex - startIndex;
+ vtkPointData *pd = input->GetPointData();
+ vtkPointData *outPD = output->GetPointData();
+ outPD->CopyAllocate(pd,numPts);
+
+ vtkNew<vtkPoints> newPoints;
+ newPoints->Allocate(numPts);
+
+ newPoints->SetNumberOfPoints(numPts);
+
+ if (this->ModuloOrdering)
+ {
+ // loop over points copying them to the output
+ // we do it in an mod 11 approach to add some randomization to the order
+ vtkIdType inIdx = 0;
+ vtkIdType nextStart = 1;
+ for (vtkIdType i = 0; i < numPts; i++)
+ {
+ newPoints->SetPoint(i,input->GetPoint(inIdx+startIndex));
+ outPD->CopyData(pd, inIdx + startIndex, i);
+ inIdx += 11;
+ if (inIdx >= numPts)
+ {
+ inIdx = nextStart;
+ nextStart++;
+ }
+ }
+ }
+ else // otherwise no reordering
+ {
+ // copy the points
+ newPoints->InsertPoints(0, numPts, startIndex, input->GetPoints());
+ // copy point data
+ outPD->CopyData(pd, 0, numPts, startIndex);
+ }
+
+ output->SetPoints(newPoints.Get());
+
+ return 1;
+}
+
+//-----------------------------------------------------------------------------
+void vtkExtractPointCloudPiece::PrintSelf(ostream& os, vtkIndent indent)
+{
+ this->Superclass::PrintSelf(os,indent);
+ os << indent << "ModuloOrdering: " << this->ModuloOrdering << "\n";
+}
diff --git a/Filters/Points/vtkExtractPointCloudPiece.h b/Filters/Points/vtkExtractPointCloudPiece.h
new file mode 100644
index 00000000000..225e2c02bc4
--- /dev/null
+++ b/Filters/Points/vtkExtractPointCloudPiece.h
@@ -0,0 +1,61 @@
+/*=========================================================================
+
+ Program: Visualization Toolkit
+ Module: vtkExtractPointCloudPiece.h
+
+ Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen
+ All rights reserved.
+ See Copyright.txt or http://www.kitware.com/Copyright.htm for details.
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE. See the above copyright notice for more information.
+
+=========================================================================*/
+// .NAME vtkExtractPointCloudPiece - Return a piece of a point cloud
+// .SECTION Description
+// This filter takes the output of a vtkHierarchicalBinningFilter and allows
+// the pipeline to stream it. Pieces are detemined from an offset integral
+// array is associated with the field data of the input.
+
+#ifndef vtkExtractPointCloudPiece_h
+#define vtkExtractPointCloudPiece_h
+
+#include "vtkFiltersPointsModule.h" // For export macro
+#include "vtkPolyDataAlgorithm.h"
+
+class vtkIdList;
+class vtkIntArray;
+
+class VTKFILTERSPOINTS_EXPORT vtkExtractPointCloudPiece : public vtkPolyDataAlgorithm
+{
+public:
+ // Description:
+ // Standard methods for instantiation, printing, and type information.
+ static vtkExtractPointCloudPiece *New();
+ vtkTypeMacro(vtkExtractPointCloudPiece, vtkPolyDataAlgorithm);
+ void PrintSelf(ostream& os, vtkIndent indent);
+
+ // Description:
+ // Turn on or off modulo sampling of the points. By default this is on and the
+ // points in a given piece will be reordered in an attempt to reduce spatial
+ // coherency.
+ vtkSetMacro(ModuloOrdering,bool);
+ vtkGetMacro(ModuloOrdering,bool);
+ vtkBooleanMacro(ModuloOrdering,bool);
+
+protected:
+ vtkExtractPointCloudPiece();
+ ~vtkExtractPointCloudPiece() {}
+
+ // Usual data generation method
+ int RequestData(vtkInformation *, vtkInformationVector **, vtkInformationVector *);
+ int RequestUpdateExtent(vtkInformation *, vtkInformationVector **, vtkInformationVector *);
+ bool ModuloOrdering;
+
+private:
+ vtkExtractPointCloudPiece(const vtkExtractPointCloudPiece&) VTK_DELETE_FUNCTION;
+ void operator=(const vtkExtractPointCloudPiece&) VTK_DELETE_FUNCTION;
+};
+
+#endif
diff --git a/Filters/Points/vtkExtractPoints.cxx b/Filters/Points/vtkExtractPoints.cxx
new file mode 100644
index 00000000000..e9f43d372cf
--- /dev/null
+++ b/Filters/Points/vtkExtractPoints.cxx
@@ -0,0 +1,140 @@
+/*=========================================================================
+
+ Program: Visualization Toolkit
+ Module: vtkExtractPoints.cxx
+
+ Copyright (c) Kitware, Inc.
+ All rights reserved.
+ See LICENSE file for details.
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE. See the above copyright notice for more information.
+
+=========================================================================*/
+#include "vtkExtractPoints.h"
+
+#include "vtkObjectFactory.h"
+#include "vtkPointSet.h"
+#include "vtkPoints.h"
+#include "vtkImplicitFunction.h"
+#include "vtkSMPTools.h"
+
+vtkStandardNewMacro(vtkExtractPoints);
+vtkCxxSetObjectMacro(vtkExtractPoints,ImplicitFunction,vtkImplicitFunction);
+
+//----------------------------------------------------------------------------
+// Helper classes to support efficient computing, and threaded execution.
+namespace {
+
+//----------------------------------------------------------------------------
+// The threaded core of the algorithm
+template <typename T>
+struct ExtractPoints
+{
+ const T *Points;
+ vtkImplicitFunction *Function;
+ bool ExtractInside;
+ vtkIdType *PointMap;
+
+ ExtractPoints(T *points, vtkImplicitFunction *f, bool inside, vtkIdType *map) :
+ Points(points), Function(f), ExtractInside(inside), PointMap(map)
+ {
+ }
+
+ void operator() (vtkIdType ptId, vtkIdType endPtId)
+ {
+ const T *p = this->Points + 3*ptId;
+ vtkIdType *map = this->PointMap + ptId;
+ vtkImplicitFunction *f = this->Function;
+ double x[3];
+ double inside = (this->ExtractInside ? 1.0 : -1.0);
+
+ for ( ; ptId < endPtId; ++ptId)
+ {
+ x[0] = static_cast<double>(*p++);
+ x[1] = static_cast<double>(*p++);
+ x[2] = static_cast<double>(*p++);
+
+ *map++ = ((f->FunctionValue(x) * inside) <= 0.0 ? 1 : -1 );
+ }
+ }
+
+ static void Execute(vtkExtractPoints *self, vtkIdType numPts,
+ T *points, vtkIdType *map)
+ {
+ ExtractPoints extract(points, self->GetImplicitFunction(),
+ self->GetExtractInside(), map);
+ vtkSMPTools::For(0, numPts, extract);
+ }
+
+}; //ExtractPoints
+
+} //anonymous namespace
+
+//================= Begin class proper =======================================
+//----------------------------------------------------------------------------
+vtkExtractPoints::vtkExtractPoints()
+{
+ this->ImplicitFunction = NULL;
+ this->ExtractInside = true;
+}
+
+//----------------------------------------------------------------------------
+vtkExtractPoints::~vtkExtractPoints()
+{
+ this->SetImplicitFunction(NULL);
+}
+
+//----------------------------------------------------------------------------
+// Overload standard modified time function. If implicit function is modified,
+// then this object is modified as well.
+vtkMTimeType vtkExtractPoints::GetMTime()
+{
+ vtkMTimeType mTime=this->MTime.GetMTime();
+ vtkMTimeType impFuncMTime;
+
+ if ( this->ImplicitFunction != NULL )
+ {
+ impFuncMTime = this->ImplicitFunction->GetMTime();
+ mTime = ( impFuncMTime > mTime ? impFuncMTime : mTime );
+ }
+
+ return mTime;
+}
+
+//----------------------------------------------------------------------------
+// Traverse all the input points and extract points that are contained within
+// and implicit function.
+int vtkExtractPoints::FilterPoints(vtkPointSet *input)
+{
+ // Check the input.
+ if ( !this->ImplicitFunction )
+ {
+ vtkErrorMacro(<<"Implicit function required\n");
+ return 0;
+ }
+
+ // Determine which points, if any, should be removed. We create a map
+ // to keep track. The bulk of the algorithmic work is done in this pass.
+ vtkIdType numPts = input->GetNumberOfPoints();
+ void *inPtr = input->GetPoints()->GetVoidPointer(0);
+ switch (input->GetPoints()->GetDataType())
+ {
+ vtkTemplateMacro(ExtractPoints<VTK_TT>::
+ Execute(this, numPts, (VTK_TT *)inPtr, this->PointMap));
+ }
+
+ return 1;
+}
+
+//----------------------------------------------------------------------------
+void vtkExtractPoints::PrintSelf(ostream& os, vtkIndent indent)
+{
+ this->Superclass::PrintSelf(os,indent);
+
+ os << indent << "Implicit Function: "
+ << static_cast<void *>(this->ImplicitFunction) << "\n";
+ os << indent << "Extract Inside: "
+ << (this->ExtractInside ? "On\n" : "Off\n");
+}
diff --git a/Filters/Points/vtkExtractPoints.h b/Filters/Points/vtkExtractPoints.h
new file mode 100644
index 00000000000..c8e3a65471b
--- /dev/null
+++ b/Filters/Points/vtkExtractPoints.h
@@ -0,0 +1,101 @@
+/*=========================================================================
+
+ Program: Visualization Toolkit
+ Module: vtkExtractPoints.h
+
+ Copyright (c) Kitware, Inc.
+ All rights reserved.
+ See LICENSE file for details.
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE. See the above copyright notice for more information.
+
+=========================================================================*/
+// .NAME vtkExtractPoints - extract points within an implicit function
+
+// .SECTION Description
+// vtkExtractPoints removes points that are either inside or outside of a
+// vtkImplicitFunction. Implicit functions in VTK defined as function of the
+// form f(x,y,z)=c, where values c<=0 are interior values of the implicit
+// function. Typical examples include planes, spheres, cylinders, cones,
+// etc. plus boolean combinations of these functions. (This operation
+// presumes closure on the set, so points on the boundary are also considered
+// to be inside.)
+//
+// Note that while any vtkPointSet type can be provided as input, the output is
+// represented by an explicit representation of points via a
+// vtkPolyData. This output polydata will populate its instance of vtkPoints,
+// but no cells will be defined (i.e., no vtkVertex or vtkPolyVertex are
+// contained in the output). Also, after filter execution, the user can
+// request a vtkIdType* map which indicates how the input points were mapped
+// to the output. A value of map[i] (where i is the ith input point) less
+// than 0 means that the ith input point was removed. (See also the
+// superclass documentation for accessing the removed points through the
+// filter's second output.)
+
+// .SECTION Caveats
+// This class has been threaded with vtkSMPTools. Using TBB or other
+// non-sequential type (set in the CMake variable
+// VTK_SMP_IMPLEMENTATION_TYPE) may improve performance significantly.
+
+// .SECTION See Also
+// vtkPointCloudFilter vtkRadiusOutlierRemoval vtkStatisticalOutlierRemoval
+// vtkThresholdPoints vtkImplicitFunction vtkExtractGeoemtry
+// vtkFitImplicitFunction
+
+#ifndef vtkExtractPoints_h
+#define vtkExtractPoints_h
+
+#include "vtkFiltersPointsModule.h" // For export macro
+#include "vtkPointCloudFilter.h"
+
+class vtkImplicitFunction;
+class vtkPointSet;
+
+
+class VTKFILTERSPOINTS_EXPORT vtkExtractPoints : public vtkPointCloudFilter
+{
+public:
+ // Description:
+ // Standard methods for instantiating, obtaining type information, and
+ // printing information.
+ static vtkExtractPoints *New();
+ vtkTypeMacro(vtkExtractPoints,vtkPointCloudFilter);
+ void PrintSelf(ostream& os, vtkIndent indent);
+
+ // Description:
+ // Specify the implicit function for inside/outside checks.
+ virtual void SetImplicitFunction(vtkImplicitFunction*);
+ vtkGetObjectMacro(ImplicitFunction,vtkImplicitFunction);
+
+ // Description:
+ // Boolean controls whether to extract points that are inside of implicit
+ // function (ExtractInside == true) or outside of implicit function
+ // (ExtractInside == false). By default, ExtractInside is true.
+ vtkSetMacro(ExtractInside,bool);
+ vtkGetMacro(ExtractInside,bool);
+ vtkBooleanMacro(ExtractInside,bool);
+
+ // Description:
+ // Return the MTime taking into account changes to the implicit function
+ virtual vtkMTimeType GetMTime();
+
+protected:
+ vtkExtractPoints();
+ ~vtkExtractPoints();
+
+ vtkImplicitFunction *ImplicitFunction;
+ bool ExtractInside;
+
+ // All derived classes must implement this method. Note that a side effect of
+ // the class is to populate the PointMap. Zero is returned if there is a failure.
+ virtual int FilterPoints(vtkPointSet *input);
+
+private:
+ vtkExtractPoints(const vtkExtractPoints&) VTK_DELETE_FUNCTION;
+ void operator=(const vtkExtractPoints&) VTK_DELETE_FUNCTION;
+
+};
+
+#endif
diff --git a/Filters/Points/vtkExtractSurface.cxx b/Filters/Points/vtkExtractSurface.cxx
new file mode 100644
index 00000000000..4e32fa39855
--- /dev/null
+++ b/Filters/Points/vtkExtractSurface.cxx
@@ -0,0 +1,1423 @@
+/*=========================================================================
+
+ Program: Visualization Toolkit
+ Module: vtkExtractSurface.cxx
+
+ Copyright (c) Kitware, Inc.
+ All rights reserved.
+ See LICENSE file for details.
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE. See the above copyright notice for more information.
+
+=========================================================================*/
+#include "vtkExtractSurface.h"
+
+#include "vtkMath.h"
+#include "vtkImageData.h"
+#include "vtkCellArray.h"
+#include "vtkInformation.h"
+#include "vtkInformationIntegerVectorKey.h"
+#include "vtkInformationVector.h"
+#include "vtkObjectFactory.h"
+#include "vtkPointData.h"
+#include "vtkPolyData.h"
+#include "vtkFloatArray.h"
+#include "vtkStreamingDemandDrivenPipeline.h"
+#include "vtkMarchingCubesTriangleCases.h"
+#include "vtkSMPTools.h"
+
+#include <cmath>
+
+vtkStandardNewMacro(vtkExtractSurface);
+
+
+//----------------------------------------------------------------------------
+
+// This templated class implements the heart of the algorithm.
+// vtkExtractSurface populates the information in this class and
+// then invokes Contour() to actually initiate execution.
+template <class T>
+class vtkExtractSurfaceAlgorithm
+{
+public:
+ // Edge case table values.
+ enum EdgeClass {
+ Below = 0, //below isovalue
+ Above = 1, //above isovalue
+ LeftAbove = 1, //left vertex is above isovalue
+ RightAbove = 2, //right vertex is above isovalue
+ BothAbove = 3, //entire edge is above isovalue
+ Empty = 4 //undefined edges should not be processed
+ };
+
+ // Dealing with boundary situations when processing volumes.
+ enum CellClass {
+ Interior = 0,
+ MinBoundary = 1,
+ MaxBoundary = 2
+ };
+
+ // Edge-based case table to generate output triangle primitives. It is
+ // equivalent to the vertex-based Marching Cubes case table but provides
+ // several computational advantages (parallel separability, more efficient
+ // computation). This table is built from the MC case table when the class
+ // is instantiated.
+ unsigned char EdgeCases[256][16];
+
+ // A table to map old edge ids (as defined from vtkMarchingCubesCases) into
+ // the edge-based case table. This is so that the existing Marching Cubes
+ // case tables can be reused.
+ static const unsigned char EdgeMap[12];
+
+ // A table that lists voxel point ids as a function of edge ids (edge ids
+ // for edge-based case table).
+ static const unsigned char VertMap[12][2];
+
+ // A table describing vertex offsets (in index space) from the cube axes
+ // origin for each of the eight vertices of a voxel.
+ static const unsigned char VertOffsets[8][3];
+
+ // This table is used to accelerate the generation of output triangles and
+ // points. The EdgeUses array, a function of the voxel case number,
+ // indicates which voxel edges intersect with the contour (i.e., require
+ // interpolation). This array is filled in at instantiation during the case
+ // table generation process.
+ unsigned char EdgeUses[256][12];
+
+ // Flags indicate whether a particular case requires voxel axes to be
+ // processed. A cheap acceleration structure computed from the case
+ // tables at the point of instantiation.
+ unsigned char IncludesAxes[256];
+
+ // Algorithm-derived data. XCases tracks the x-row edge cases. The
+ // EdgeMetaData tracks information needed for parallel partitioning,
+ // and to enable generation of the output primitives without using
+ // a point locator.
+ unsigned char *XCases;
+ vtkIdType *EdgeMetaData;
+
+ // Internal variables used by the various algorithm methods. Interfaces VTK
+ // image data in a form more convenient to the algorithm.
+ T *Scalars;
+ double Radius;
+ vtkIdType Dims[3];
+ double Origin[3];
+ double Spacing[3];
+ vtkIdType NumberOfEdges;
+ vtkIdType SliceOffset;
+ int Min0;
+ int Max0;
+ int Inc0;
+ int Min1;
+ int Max1;
+ int Inc1;
+ int Min2;
+ int Max2;
+ int Inc2;
+
+ // Output data. Threads write to partitioned memory.
+ vtkIdType *NewTris;
+ float *NewPoints;
+ float *NewGradients;
+ float *NewNormals;
+ bool NeedGradients;
+
+ // Setup algorithm
+ vtkExtractSurfaceAlgorithm();
+
+ // Adjust the origin to the lower-left corner of the volume (if necessary)
+ void AdjustOrigin()
+ {
+ this->Origin[0] = this->Origin[0] + this->Spacing[0]*this->Min0;
+ this->Origin[1] = this->Origin[1] + this->Spacing[1]*this->Min1;
+ this->Origin[2] = this->Origin[2] + this->Spacing[2]*this->Min2;;
+ }
+
+ // The three main passes of the algorithm.
+ void ProcessXEdge(double value, T const * const inPtr, vtkIdType row, vtkIdType slice); //PASS 1
+ void ProcessYZEdges(vtkIdType row, vtkIdType slice); //PASS 2
+ void GenerateOutput(double value, T* inPtr, vtkIdType row, vtkIdType slice);//PASS 3
+
+ // Used to extract the edge case separate from the state of the edge. The state is
+ // one of three values: NEAR, EMPTY, or UNSEEN. The state refers to the relationship
+ // of the edge to the signed distance function.
+ unsigned char EdgeCase(unsigned char eCase)
+ {
+ return (eCase & vtkExtractSurfaceAlgorithm::BothAbove);
+ }
+
+ // Place holder for now in case fancy bit fiddling is needed later.
+ void SetXEdge(unsigned char *ePtr, unsigned char edgeCase)
+ {*ePtr = edgeCase;}
+
+ // Given the four x-edge cases defining this voxel, return the voxel case
+ // number.
+ unsigned char GetEdgeCase(unsigned char *ePtr[4])
+ {
+ return ( this->EdgeCase(*(ePtr[0])) | (this->EdgeCase(*(ePtr[1]))<<2) |
+ (this->EdgeCase(*(ePtr[2]))<<4) | (this->EdgeCase(*(ePtr[3]))<<6) );
+ }
+
+ // Given the four x-edge cases defining this voxel, indicate whether the voxel is
+ // valid and primitives are to be generated. This method needs to refer to the
+ // state of the edge.
+ bool GeneratePrimitives(unsigned char *ePtr[4])
+ {
+ if ( *ePtr[0] >= vtkExtractSurfaceAlgorithm::Empty ||
+ *ePtr[1] >= vtkExtractSurfaceAlgorithm::Empty ||
+ *ePtr[2] >= vtkExtractSurfaceAlgorithm::Empty ||
+ *ePtr[3] >= vtkExtractSurfaceAlgorithm::Empty )
+ {
+ return false;
+ }
+ else
+ {
+ return true;
+ }
+ }
+
+ // Return the number of contouring primitives for a particular edge case number.
+ unsigned char GetNumberOfPrimitives(unsigned char eCase)
+ { return this->EdgeCases[eCase][0]; }
+
+ // Return an array indicating which voxel edges intersect the contour.
+ unsigned char *GetEdgeUses(unsigned char eCase)
+ { return this->EdgeUses[eCase]; }
+
+ // Indicate whether voxel axes need processing for this case.
+ unsigned char CaseIncludesAxes(unsigned char eCase)
+ { return this->IncludesAxes[eCase]; }
+
+ // Count edge intersections near volume boundaries.
+ void CountBoundaryYZInts(unsigned char loc, unsigned char *edgeCases,
+ vtkIdType *eMD[4]);
+
+ // Produce the output triangles for this voxel cell.
+ void GenerateTris(unsigned char eCase, unsigned char numTris, vtkIdType *eIds,
+ vtkIdType &triId)
+ {
+ vtkIdType *tri;
+ const unsigned char *edges = this->EdgeCases[eCase] + 1;
+ for (int i=0; i < numTris; ++i, edges+=3)
+ {
+ tri = this->NewTris + 4*triId++;
+ tri[0] = 3;
+ tri[1] = eIds[edges[0]];
+ tri[2] = eIds[edges[1]];
+ tri[3] = eIds[edges[2]];
+ }
+ }
+
+ // Compute gradient on interior point.
+ void ComputeGradient(unsigned char loc, vtkIdType ijk[3],
+ T const * const s0_start, T const * const s0_end,
+ T const * const s1_start, T const * const s1_end,
+ T const * const s2_start, T const * const s2_end,
+ float g[3])
+ {
+ if ( loc == Interior )
+ {
+ g[0] = 0.5*( (*s0_start - *s0_end) / this->Spacing[0] );
+ g[1] = 0.5*( (*s1_start - *s1_end) / this->Spacing[1] );
+ g[2] = 0.5*( (*s2_start - *s2_end) / this->Spacing[2] );
+ }
+ else
+ {
+ this->ComputeBoundaryGradient(ijk,
+ s0_start, s0_end,
+ s1_start, s1_end,
+ s2_start, s2_end,
+ g);
+ }
+ }
+
+
+ // Interpolate along a voxel axes edge.
+ void InterpolateAxesEdge(double t, unsigned char loc,
+ float x0[3],
+ T const * const s,
+ const int incs[3],
+ float x1[3],
+ vtkIdType vId,
+ vtkIdType ijk[3],
+ float g0[3])
+ {
+
+ float *x = this->NewPoints + 3*vId;
+ x[0] = x0[0] + t*(x1[0]-x0[0]);
+ x[1] = x0[1] + t*(x1[1]-x0[1]);
+ x[2] = x0[2] + t*(x1[2]-x0[2]);
+
+ if ( this->NeedGradients )
+ {
+ float gTmp[3], g1[3];
+ this->ComputeGradient(loc,ijk,
+ s + incs[0], s - incs[0],
+ s + incs[1], s - incs[1],
+ s + incs[2], s - incs[2],
+ g1);
+
+ float *g = ( this->NewGradients ? this->NewGradients + 3*vId : gTmp );
+ g[0] = g0[0] + t*(g1[0]-g0[0]);
+ g[1] = g0[1] + t*(g1[1]-g0[1]);
+ g[2] = g0[2] + t*(g1[2]-g0[2]);
+
+ if ( this->NewNormals )
+ {
+ float *n = this->NewNormals + 3*vId;
+ n[0] = -g[0];
+ n[1] = -g[1];
+ n[2] = -g[2];
+ vtkMath::Normalize(n);
+ }
+ }//if normals or gradients required
+ }
+
+ // Compute the gradient on a point which may be on the boundary of the volume.
+ void ComputeBoundaryGradient(vtkIdType ijk[3],
+ T const * const s0_start, T const * const s0_end,
+ T const * const s1_start, T const * const s1_end,
+ T const * const s2_start, T const * const s2_end,
+ float g[3]);
+
+ // Interpolate along an arbitrary edge, typically one that may be on the
+ // volume boundary. This means careful computation of stuff requiring
+ // neighborhood information (e.g., gradients).
+ void InterpolateEdge(double value, vtkIdType ijk[3],
+ T const * const s, const int incs[3],
+ float x[3],
+ unsigned char edgeNum,
+ unsigned char const* const edgeUses,
+ vtkIdType *eIds);
+
+ // Produce the output points on the voxel axes for this voxel cell.
+ void GeneratePoints(double value, unsigned char loc, vtkIdType ijk[3],
+ T const * const sPtr, const int incs[3],
+ float x[3], unsigned char const * const edgeUses,
+ vtkIdType *eIds);
+
+ // Helper function to set up the point ids on voxel edges.
+ unsigned char InitVoxelIds(unsigned char *ePtr[4], vtkIdType *eMD[4],
+ vtkIdType *eIds)
+ {
+ unsigned char eCase = this->GetEdgeCase(ePtr);
+ eIds[0] = eMD[0][0]; //x-edges
+ eIds[1] = eMD[1][0];
+ eIds[2] = eMD[2][0];
+ eIds[3] = eMD[3][0];
+ eIds[4] = eMD[0][1]; //y-edges
+ eIds[5] = eIds[4] + this->EdgeUses[eCase][4];
+ eIds[6] = eMD[2][1];
+ eIds[7] = eIds[6] + this->EdgeUses[eCase][6];
+ eIds[8] = eMD[0][2]; //z-edges
+ eIds[9] = eIds[8] + this->EdgeUses[eCase][8];
+ eIds[10] = eMD[1][2];
+ eIds[11] = eIds[10] + this->EdgeUses[eCase][10];
+ return eCase;
+ }
+
+ // Helper function to advance the point ids along voxel rows.
+ void AdvanceVoxelIds(unsigned char eCase, vtkIdType *eIds)
+ {
+ eIds[0] += this->EdgeUses[eCase][0]; //x-edges
+ eIds[1] += this->EdgeUses[eCase][1];
+ eIds[2] += this->EdgeUses[eCase][2];
+ eIds[3] += this->EdgeUses[eCase][3];
+ eIds[4] += this->EdgeUses[eCase][4]; //y-edges
+ eIds[5] = eIds[4] + this->EdgeUses[eCase][5];
+ eIds[6] += this->EdgeUses[eCase][6];
+ eIds[7] = eIds[6] + this->EdgeUses[eCase][7];
+ eIds[8] += this->EdgeUses[eCase][8]; //z-edges
+ eIds[9] = eIds[8] + this->EdgeUses[eCase][9];
+ eIds[10] += this->EdgeUses[eCase][10];
+ eIds[11] = eIds[10] + this->EdgeUses[eCase][11];
+ }
+
+ // Threading integration via SMPTools
+ template <class TT> class Pass1
+ {
+ public:
+ vtkExtractSurfaceAlgorithm<TT> *Algo;
+ double Value;
+ Pass1(vtkExtractSurfaceAlgorithm<TT> *algo, double value)
+ {this->Algo = algo; this->Value = value;}
+ void operator()(vtkIdType slice, vtkIdType end)
+ {
+ vtkIdType row;
+ TT *rowPtr, *slicePtr = this->Algo->Scalars + slice*this->Algo->Inc2;
+ for ( ; slice < end; ++slice )
+ {
+ for (row=0, rowPtr=slicePtr; row < this->Algo->Dims[1]; ++row)
+ {
+ this->Algo->ProcessXEdge(this->Value, rowPtr, row, slice);
+ rowPtr += this->Algo->Inc1;
+ }//for all rows in this slice
+ slicePtr += this->Algo->Inc2;
+ }//for all slices in this batch
+ }
+ };
+ template <class TT> class Pass2
+ {
+ public:
+ Pass2(vtkExtractSurfaceAlgorithm<TT> *algo)
+ {this->Algo = algo;}
+ vtkExtractSurfaceAlgorithm<TT> *Algo;
+ void operator()(vtkIdType slice, vtkIdType end)
+ {
+ for ( ; slice < end; ++slice)
+ {
+ for ( vtkIdType row=0; row < (this->Algo->Dims[1]-1); ++row)
+ {
+ this->Algo->ProcessYZEdges(row, slice);
+ }//for all rows in this slice
+ }//for all slices in this batch
+ }
+ };
+ template <class TT> class Pass4
+ {
+ public:
+ Pass4(vtkExtractSurfaceAlgorithm<TT> *algo, double value)
+ {this->Algo = algo; this->Value = value;}
+ vtkExtractSurfaceAlgorithm<TT> *Algo;
+ double Value;
+ void operator()(vtkIdType slice, vtkIdType end)
+ {
+ vtkIdType row;
+ vtkIdType *eMD0 = this->Algo->EdgeMetaData + slice*6*this->Algo->Dims[1];
+ vtkIdType *eMD1 = eMD0 + 6*this->Algo->Dims[1];
+ TT *rowPtr, *slicePtr = this->Algo->Scalars + slice*this->Algo->Inc2;
+ for ( ; slice < end; ++slice )
+ {
+ // It's possible to skip entire slices if there is nothing to generate
+ if ( eMD1[3] > eMD0[3] ) //there are triangle primitives!
+ {
+ for (row=0, rowPtr=slicePtr; row < this->Algo->Dims[1]-1; ++row)
+ {
+ this->Algo->GenerateOutput(this->Value, rowPtr, row, slice);
+ rowPtr += this->Algo->Inc1;
+ }//for all rows in this slice
+ }//if there are triangles
+ slicePtr += this->Algo->Inc2;
+ eMD0 = eMD1;
+ eMD1 = eMD0 + 6*this->Algo->Dims[1];
+ }//for all slices in this batch
+ }
+ };
+
+ // Interface between VTK and templated functions
+ static void Contour(vtkExtractSurface *self, vtkImageData *input,
+ int extent[6], vtkIdType *incs, T *scalars,
+ vtkPoints *newPts, vtkCellArray *newTris,
+ vtkFloatArray *newNormals, vtkFloatArray *newGradients);
+};
+
+//----------------------------------------------------------------------------
+// Map MC edges numbering to use the saner FlyingEdges edge numbering scheme.
+template <class T> const unsigned char vtkExtractSurfaceAlgorithm<T>::
+EdgeMap[12] = {0,5,1,4,2,7,3,6,8,9,10,11};
+
+//----------------------------------------------------------------------------
+// Map MC edges numbering to use the saner FlyingEdges edge numbering scheme.
+template <class T> const unsigned char vtkExtractSurfaceAlgorithm<T>::
+VertMap[12][2] = {{0,1}, {2,3}, {4,5}, {6,7}, {0,2}, {1,3}, {4,6}, {5,7},
+ {0,4}, {1,5}, {2,6}, {3,7}};
+
+//----------------------------------------------------------------------------
+// The offsets of each vertex (in index space) from the voxel axes origin.
+template <class T> const unsigned char vtkExtractSurfaceAlgorithm<T>::
+VertOffsets[8][3] = {{0,0,0}, {1,0,0}, {0,1,0}, {1,1,0},
+ {0,0,1}, {1,0,1}, {0,1,1}, {1,1,1}};
+
+//----------------------------------------------------------------------------
+// Instantiate and initialize key data members. Mostly we build the
+// edge-based case table, and associated acceleration structures, from the
+// marching cubes case table. Some of this code is borrowed shamelessly from
+// vtkVoxel::Contour() method.
+template <class T> vtkExtractSurfaceAlgorithm<T>::
+vtkExtractSurfaceAlgorithm():XCases(NULL),EdgeMetaData(NULL),NewTris(NULL),
+ NewPoints(NULL),NewGradients(NULL),NewNormals(NULL)
+{
+ int i, j, k, l, ii, eCase, index, numTris;
+ static int vertMap[8] = {0,1,3,2,4,5,7,6};
+ static int CASE_MASK[8] = {1,2,4,8,16,32,64,128};
+ EDGE_LIST *edge;
+ vtkMarchingCubesTriangleCases *triCase;
+ unsigned char *edgeCase;
+
+ // Initialize cases, increments, and edge intersection flags
+ for (eCase=0; eCase<256; ++eCase)
+ {
+ for (j=0; j<16; ++j)
+ {
+ this->EdgeCases[eCase][j] = 0;
+ }
+ for (j=0; j<12; ++j)
+ {
+ this->EdgeUses[eCase][j] = 0;
+ }
+ this->IncludesAxes[eCase] = 0;
+ }
+
+ // The voxel, edge-based case table is a function of the four x-edge cases
+ // that define the voxel. Here we convert the existing MC vertex-based case
+ // table into a x-edge case table. Note that the four x-edges are ordered
+ // (0->3): x, x+y, x+z, x+y+z; the four y-edges are ordered (4->7): y, y+x,
+ // y+z, y+x+z; and the four z-edges are ordered (8->11): z, z+x, z+y,
+ // z+x+y.
+ for (l=0; l<4; ++l)
+ {
+ for (k=0; k<4; ++k)
+ {
+ for (j=0; j<4; ++j)
+ {
+ for (i=0; i<4; ++i)
+ {
+ //yes we could just count to (0->255) but where's the fun in that?
+ eCase = i | (j<<2) | (k<<4) | (l<<6);
+ for ( ii=0, index = 0; ii < 8; ++ii)
+ {
+ if ( eCase & (1<<vertMap[ii]) ) //map into ancient MC table
+ {
+ index |= CASE_MASK[ii];
+ }
+ }
+ //Now build case table
+ triCase = vtkMarchingCubesTriangleCases::GetCases() + index;
+ edge = triCase->edges;
+ for ( numTris=0, edge=triCase->edges; edge[0] > -1; edge += 3 )
+ {//count the number of triangles
+ numTris++;
+ }
+ if ( numTris > 0 )
+ {
+ edgeCase = this->EdgeCases[eCase];
+ *edgeCase++ = numTris;
+ for ( edge = triCase->edges; edge[0] > -1; edge += 3, edgeCase+=3 )
+ {
+ // Build new case table.
+ edgeCase[0] = this->EdgeMap[edge[0]];
+ edgeCase[1] = this->EdgeMap[edge[1]];
+ edgeCase[2] = this->EdgeMap[edge[2]];
+ }
+ }
+ }//x-edges
+ }//x+y-edges
+ }//x+z-edges
+ }//x+y+z-edges
+
+ // Okay now build the acceleration structure. This is used to generate
+ // output points and triangles when processing a voxel x-row as well as to
+ // perform other topological reasoning. This structure is a function of the
+ // particular case number.
+ for (eCase=0; eCase < 256; ++eCase)
+ {
+ edgeCase = this->EdgeCases[eCase];
+ numTris = *edgeCase++;
+
+ // Mark edges that are used by this case.
+ for (i=0; i < numTris*3; ++i) //just loop over all edges
+ {
+ this->EdgeUses[eCase][edgeCase[i]] = 1;
+ }
+
+ this->IncludesAxes[eCase] = this->EdgeUses[eCase][0] |
+ this->EdgeUses[eCase][4] | this->EdgeUses[eCase][8];
+
+ }//for all cases
+}
+
+//----------------------------------------------------------------------------
+// Count intersections along voxel axes. When traversing the volume across
+// x-edges, the voxel axes on the boundary may be undefined near boundaries
+// (because there are no fully-formed cells). Thus the voxel axes on the
+// boundary are treated specially.
+template <class T> void vtkExtractSurfaceAlgorithm<T>::
+CountBoundaryYZInts(unsigned char loc, unsigned char *edgeUses,
+ vtkIdType *eMD[4])
+{
+ switch (loc)
+ {
+ case 2: //+x boundary
+ eMD[0][1] += edgeUses[5];
+ eMD[0][2] += edgeUses[9];
+ break;
+ case 8: //+y
+ eMD[1][2] += edgeUses[10];
+ break;
+ case 10://+x +y
+ eMD[0][1] += edgeUses[5];
+ eMD[0][2] += edgeUses[9];
+ eMD[1][2] += edgeUses[10];
+ eMD[1][2] += edgeUses[11];
+ break;
+ case 32://+z
+ eMD[2][1] += edgeUses[6];
+ break;
+ case 34: //+x +z
+ eMD[0][1] += edgeUses[5];
+ eMD[0][2] += edgeUses[9];
+ eMD[2][1] += edgeUses[6];
+ eMD[2][1] += edgeUses[7];
+ break;
+ case 40: //+y +z
+ eMD[2][1] += edgeUses[6];
+ eMD[1][2] += edgeUses[10];
+ break;
+ case 42: //+x +y +z happens no more than once per volume
+ eMD[0][1] += edgeUses[5];
+ eMD[0][2] += edgeUses[9];
+ eMD[1][2] += edgeUses[10];
+ eMD[1][2] += edgeUses[11];
+ eMD[2][1] += edgeUses[6];
+ eMD[2][1] += edgeUses[7];
+ break;
+ default: //uh-oh shouldn't happen
+ break;
+ }
+}
+
+//----------------------------------------------------------------------------
+// Compute the gradient when the point may be near the boundary of the
+// volume.
+template <class T> void vtkExtractSurfaceAlgorithm<T>::
+ComputeBoundaryGradient(vtkIdType ijk[3],
+ T const * const s0_start, T const * const s0_end,
+ T const * const s1_start, T const * const s1_end,
+ T const * const s2_start, T const * const s2_end,
+ float g[3])
+{
+ const T* s = s0_start - this->Inc0;
+
+ if ( ijk[0] == 0 )
+ {
+ g[0] = (*s0_start - *s) / this->Spacing[0];
+ }
+ else if ( ijk[0] >= (this->Dims[0]-1) )
+ {
+ g[0] = (*s - *s0_end) / this->Spacing[0];
+ }
+ else
+ {
+ g[0] = 0.5 * ( (*s0_start - *s0_end) / this->Spacing[0] );
+ }
+
+ if ( ijk[1] == 0 )
+ {
+ g[1] = (*s1_start - *s) / this->Spacing[1];
+ }
+ else if ( ijk[1] >= (this->Dims[1]-1) )
+ {
+ g[1] = (*s - *s1_end) / this->Spacing[1];
+ }
+ else
+ {
+ g[1] = 0.5 * ( (*s1_start - *s1_end) / this->Spacing[1] );
+ }
+
+ if ( ijk[2] == 0 )
+ {
+ g[2] = (*s2_start - *s) / this->Spacing[2];
+ }
+ else if ( ijk[2] >= (this->Dims[2]-1) )
+ {
+ g[2] = (*s - *s2_end) / this->Spacing[2];
+ }
+ else
+ {
+ g[2] = 0.5 * ( (*s2_start - *s2_end) / this->Spacing[2] );
+ }
+}
+
+//----------------------------------------------------------------------------
+// Interpolate a new point along a boundary edge. Make sure to consider
+// proximity to the boundary when computing gradients, etc.
+template <class T> void vtkExtractSurfaceAlgorithm<T>::
+InterpolateEdge(double value, vtkIdType ijk[3],
+ T const * const s,
+ const int incs[3],
+ float x[3],
+ unsigned char edgeNum,
+ unsigned char const * const edgeUses,
+ vtkIdType *eIds)
+{
+ // if this edge is not used then get out
+ if ( ! edgeUses[edgeNum] )
+ {
+ return;
+ }
+
+ // build the edge information
+ const unsigned char *vertMap = this->VertMap[edgeNum];
+
+ float x0[3], x1[3];
+ vtkIdType ijk0[3], ijk1[3], vId=eIds[edgeNum];
+ int i;
+
+ const unsigned char *offsets = this->VertOffsets[vertMap[0]];
+ T const * const s0 = s + offsets[0]*incs[0] +
+ offsets[1]*incs[1] +
+ offsets[2]*incs[2];
+ for (i=0; i<3; ++i)
+ {
+ ijk0[i] = ijk[i] + offsets[i];
+ x0[i] = x[i] + offsets[i]*this->Spacing[i];
+ }
+
+ offsets = this->VertOffsets[vertMap[1]];
+ T const * const s1 = s + offsets[0]*incs[0] +
+ offsets[1]*incs[1] +
+ offsets[2]*incs[2];
+ for (i=0; i<3; ++i)
+ {
+ ijk1[i] = ijk[i] + offsets[i];
+ x1[i] = x[i] + offsets[i]*this->Spacing[i];
+ }
+
+ // Okay interpolate
+ double t = (value - *s0) / (*s1 - *s0);
+ float *xPtr = this->NewPoints + 3*vId;
+ xPtr[0] = x0[0] + t*(x1[0]-x0[0]);
+ xPtr[1] = x0[1] + t*(x1[1]-x0[1]);
+ xPtr[2] = x0[2] + t*(x1[2]-x0[2]);
+
+ if ( this->NeedGradients )
+ {
+ float gTmp[3], g0[3], g1[3];
+ this->ComputeBoundaryGradient(ijk0,
+ s0+incs[0], s0-incs[0],
+ s0+incs[1], s0-incs[1],
+ s0+incs[2], s0-incs[2],
+ g0);
+ this->ComputeBoundaryGradient(ijk1,
+ s1+incs[0], s1-incs[0],
+ s1+incs[1], s1-incs[1],
+ s1+incs[2], s1-incs[2],
+ g1);
+
+ float *g = ( this->NewGradients ? this->NewGradients + 3*vId : gTmp );
+ g[0] = g0[0] + t*(g1[0]-g0[0]);
+ g[1] = g0[1] + t*(g1[1]-g0[1]);
+ g[2] = g0[2] + t*(g1[2]-g0[2]);
+
+ if ( this->NewNormals )
+ {
+ float *n = this->NewNormals + 3*vId;
+ n[0] = -g[0];
+ n[1] = -g[1];
+ n[2] = -g[2];
+ vtkMath::Normalize(n);
+ }
+ }//if normals or gradients required
+}
+
+//----------------------------------------------------------------------------
+// Generate the output points and optionally normals, gradients and
+// interpolate attributes.
+template <class T> void vtkExtractSurfaceAlgorithm<T>::
+GeneratePoints(double value, unsigned char loc, vtkIdType ijk[3],
+ T const * const sPtr, const int incs[3],
+ float x[3],
+ unsigned char const * const edgeUses,
+ vtkIdType *eIds)
+{
+ // Create a slightly faster path for voxel axes interior to the volume.
+ float g0[3];
+ if ( this->NeedGradients )
+ {
+ this->ComputeGradient(loc,ijk,
+ sPtr + incs[0], sPtr - incs[0],
+ sPtr + incs[1], sPtr - incs[1],
+ sPtr + incs[2], sPtr - incs[2],
+ g0);
+ }
+
+ // Interpolate the cell axes edges
+ for(int i=0; i < 3; ++i)
+ {
+ if(edgeUses[i*4])
+ {
+ //edgesUses[0] == x axes edge
+ //edgesUses[4] == y axes edge
+ //edgesUses[8] == z axes edge
+ float x1[3] = {x[0], x[1], x[2] }; x1[i] += this->Spacing[i];
+ vtkIdType ijk1[3] = { ijk[0], ijk[1], ijk[2] }; ++ijk1[i];
+
+ T const * const sPtr2 = (sPtr+incs[i]);
+ double t = (value - *sPtr) / (*sPtr2 - *sPtr);
+ this->InterpolateAxesEdge(t, loc, x, sPtr2, incs, x1, eIds[i*4], ijk1, g0);
+ }
+ }
+
+ // On the boundary cells special work has to be done to cover the partial
+ // cell axes. These are boundary situations where the voxel axes is not
+ // fully formed. These situations occur on the +x,+y,+z volume
+ // boundaries. (The other cases fall through the default: case which is
+ // expected.)
+ //
+ // Note that loc is one of 27 regions in the volume, with (0,1,2)
+ // indicating (interior, min, max) along coordinate axes.
+ switch (loc)
+ {
+ case 2: case 6: case 18: case 22: //+x
+ this->InterpolateEdge(value, ijk, sPtr, incs, x, 5, edgeUses, eIds);
+ this->InterpolateEdge(value, ijk, sPtr, incs, x, 9, edgeUses, eIds);
+ break;
+ case 8: case 9: case 24: case 25: //+y
+ this->InterpolateEdge(value, ijk, sPtr, incs, x, 1, edgeUses, eIds);
+ this->InterpolateEdge(value, ijk, sPtr, incs, x, 10, edgeUses, eIds);
+ break;
+ case 32: case 33: case 36: case 37: //+z
+ this->InterpolateEdge(value, ijk, sPtr, incs, x, 2, edgeUses, eIds);
+ this->InterpolateEdge(value, ijk, sPtr, incs, x, 6, edgeUses, eIds);
+ break;
+ case 10: case 26: //+x +y
+ this->InterpolateEdge(value, ijk, sPtr, incs, x, 1, edgeUses, eIds);
+ this->InterpolateEdge(value, ijk, sPtr, incs, x, 5, edgeUses, eIds);
+ this->InterpolateEdge(value, ijk, sPtr, incs, x, 9, edgeUses, eIds);
+ this->InterpolateEdge(value, ijk, sPtr, incs, x, 10, edgeUses, eIds);
+ this->InterpolateEdge(value, ijk, sPtr, incs, x, 11, edgeUses, eIds);
+ break;
+ case 34: case 38: //+x +z
+ this->InterpolateEdge(value, ijk, sPtr, incs, x, 2, edgeUses, eIds);
+ this->InterpolateEdge(value, ijk, sPtr, incs, x, 5, edgeUses, eIds);
+ this->InterpolateEdge(value, ijk, sPtr, incs, x, 9, edgeUses, eIds);
+ this->InterpolateEdge(value, ijk, sPtr, incs, x, 6, edgeUses, eIds);
+ this->InterpolateEdge(value, ijk, sPtr, incs, x, 7, edgeUses, eIds);
+ break;
+ case 40: case 41: //+y +z
+ this->InterpolateEdge(value, ijk, sPtr, incs, x, 1, edgeUses, eIds);
+ this->InterpolateEdge(value, ijk, sPtr, incs, x, 2, edgeUses, eIds);
+ this->InterpolateEdge(value, ijk, sPtr, incs, x, 3, edgeUses, eIds);
+ this->InterpolateEdge(value, ijk, sPtr, incs, x, 6, edgeUses, eIds);
+ this->InterpolateEdge(value, ijk, sPtr, incs, x, 10, edgeUses, eIds);
+ break;
+ case 42: //+x +y +z happens no more than once per volume
+ this->InterpolateEdge(value, ijk, sPtr, incs, x, 1, edgeUses, eIds);
+ this->InterpolateEdge(value, ijk, sPtr, incs, x, 2, edgeUses, eIds);
+ this->InterpolateEdge(value, ijk, sPtr, incs, x, 3, edgeUses, eIds);
+ this->InterpolateEdge(value, ijk, sPtr, incs, x, 5, edgeUses, eIds);
+ this->InterpolateEdge(value, ijk, sPtr, incs, x, 9, edgeUses, eIds);
+ this->InterpolateEdge(value, ijk, sPtr, incs, x, 10, edgeUses, eIds);
+ this->InterpolateEdge(value, ijk, sPtr, incs, x, 11, edgeUses, eIds);
+ this->InterpolateEdge(value, ijk, sPtr, incs, x, 6, edgeUses, eIds);
+ this->InterpolateEdge(value, ijk, sPtr, incs, x, 7, edgeUses, eIds);
+ break;
+ default: //interior, or -x,-y,-z boundaries
+ return;
+ }
+}
+
+//----------------------------------------------------------------------------
+// PASS 1: Process a single volume x-row (and all of the voxel edges that
+// compose the row). Determine the x-edges case classification, count the
+// number of x-edge intersections, and figure out where intersections along
+// the x-row begins and ends (i.e., gather information for computational
+// trimming).
+template <class T> void vtkExtractSurfaceAlgorithm<T>::
+ProcessXEdge(double value, T const* const inPtr, vtkIdType row, vtkIdType slice)
+{
+ vtkIdType nxcells=this->Dims[0]-1;
+ vtkIdType minInt=nxcells, maxInt = 0;
+ vtkIdType *edgeMetaData;
+ unsigned char *ePtr = this->XCases + slice*this->SliceOffset + row*nxcells;
+ double s0, s1 = static_cast<double>(*inPtr);
+ double radius=this->Radius;
+
+ //run along the entire x-edge computing edge cases
+ edgeMetaData = this->EdgeMetaData + (slice*this->Dims[1] + row)*6;
+ std::fill_n(edgeMetaData, 6, 0);
+
+ vtkIdType sum = 0;
+
+ //pull this out help reduce false sharing
+ vtkIdType inc0 = this->Inc0;
+
+ for (vtkIdType i=0; i < nxcells; ++i, ++ePtr)
+ {
+ s0 = s1;
+ s1 = static_cast<double>(*(inPtr + (i+1)*inc0));
+
+ unsigned char edgeCase = vtkExtractSurfaceAlgorithm::Below;
+ if (s0 >= value)
+ {
+ edgeCase = vtkExtractSurfaceAlgorithm::LeftAbove;
+ }
+ if( s1 >= value)
+ {
+ edgeCase |= vtkExtractSurfaceAlgorithm::RightAbove;
+ }
+
+ // if edge intersects contour
+ if ( edgeCase == vtkExtractSurfaceAlgorithm::LeftAbove ||
+ edgeCase == vtkExtractSurfaceAlgorithm::RightAbove )
+ {
+ ++sum; //increment number of intersections along x-edge
+ minInt = ( i < minInt ? i : minInt);
+ maxInt = i + 1;
+ }//if contour interacts with this x-edge
+
+ if ( s0 >= radius || s1 >= radius )
+ {
+ edgeCase |= vtkExtractSurfaceAlgorithm::Empty;
+ }
+ this->SetXEdge(ePtr, edgeCase);
+ }//for all x-cell edges along this x-edge
+
+ edgeMetaData[0] += sum; //write back the number of intersections along x-edge
+
+ // The beginning and ending of intersections along the edge is used for
+ // computational trimming.
+ edgeMetaData[4] = minInt; //where intersections start along x edge
+ edgeMetaData[5] = maxInt; //where intersections end along x edge
+}
+
+//----------------------------------------------------------------------------
+// PASS 2: Process a single x-row of voxels. Count the number of y- and
+// z-intersections by topological reasoning from x-edge cases. Determine the
+// number of primitives (i.e., triangles) generated from this row. Use
+// computational trimming to reduce work. Note *ePtr[4] is four pointers to
+// four x-edge rows that bound the voxel x-row and which contain edge case
+// information.
+template <class T> void vtkExtractSurfaceAlgorithm<T>::
+ProcessYZEdges(vtkIdType row, vtkIdType slice)
+{
+ // Grab the four edge cases bounding this voxel x-row.
+ unsigned char *ePtr[4], ec0, ec1, ec2, ec3, xInts=1;
+ ePtr[0] = this->XCases + slice*this->SliceOffset + row*(this->Dims[0]-1);
+ ePtr[1] = ePtr[0] + this->Dims[0]-1;
+ ePtr[2] = ePtr[0] + this->SliceOffset;
+ ePtr[3] = ePtr[2] + this->Dims[0]-1;
+
+ // Grab the edge meta data surrounding the voxel row.
+ vtkIdType *eMD[4];
+ eMD[0] = this->EdgeMetaData + (slice*this->Dims[1] + row)*6; //this x-edge
+ eMD[1] = eMD[0] + 6; //x-edge in +y direction
+ eMD[2] = eMD[0] + this->Dims[1]*6; //x-edge in +z direction
+ eMD[3] = eMD[2] + 6; //x-edge in +y+z direction
+
+ // Determine whether this row of x-cells needs processing. If there are no
+ // x-edge intersections, and the state of the four bounding x-edges is the
+ // same, then there is no need for processing.
+ if ( (eMD[0][0] | eMD[1][0] | eMD[2][0] | eMD[3][0]) == 0 ) //any x-ints?
+ {
+ unsigned char eCase0 = this->EdgeCase(*ePtr[0]);
+ unsigned char eCase1 = this->EdgeCase(*ePtr[1]);
+ unsigned char eCase2 = this->EdgeCase(*ePtr[2]);
+ unsigned char eCase3 = this->EdgeCase(*ePtr[3]);
+ if ( eCase0 == eCase1 && eCase1 == eCase2 && eCase2 == eCase3 )
+ {
+ return; //there are no y- or z-ints, thus no contour, skip voxel row
+ }
+ else
+ {
+ xInts = 0; //there are y- or z- edge ints however
+ }
+ }
+
+ // Determine proximity to the boundary of volume. This information is used
+ // to count edge intersections in boundary situations.
+ unsigned char loc, yLoc, zLoc, yzLoc;
+ yLoc = (row >= (this->Dims[1]-2) ? MaxBoundary : Interior);
+ zLoc = (slice >= (this->Dims[2]-2) ? MaxBoundary : Interior);
+ yzLoc = (yLoc << 2) | (zLoc << 4);
+
+ // The trim edges may need adjustment if the contour travels between rows
+ // of x-edges (without intersecting these x-edges). This means checking
+ // whether the trim faces at (xL,xR) made up of the y-z edges intersect the
+ // contour. Basically just an intersection operation. Determine the voxel
+ // row trim edges, need to check all four x-edges.
+ vtkIdType xL=eMD[0][4], xR=eMD[0][5];
+ vtkIdType i;
+ if ( xInts )
+ {
+ for (i=1; i < 4; ++i)
+ {
+ xL = ( eMD[i][4] < xL ? eMD[i][4] : xL);
+ xR = ( eMD[i][5] > xR ? eMD[i][5] : xR);
+ }
+
+ if ( xL > 0 ) //if trimmed in the -x direction
+ {
+ ec0 = *(ePtr[0]+xL); ec1 = *(ePtr[1]+xL);
+ ec2 = *(ePtr[2]+xL); ec3 = *(ePtr[3]+xL);
+ if ( (ec0 & 0x1) != (ec1 & 0x1) || (ec1 & 0x1) != (ec2 & 0x1) ||
+ (ec2 & 0x1) != (ec3 & 0x1) )
+ {
+ xL = eMD[0][4] = 0; //reset left trim
+ }
+ }
+
+ if ( xR < (this->Dims[0]-1) ) //if trimmed in the +x direction
+ {
+ ec0 = *(ePtr[0]+xR); ec1 = *(ePtr[1]+xR);
+ ec2 = *(ePtr[2]+xR); ec3 = *(ePtr[3]+xR);
+ if ( (ec0 & 0x2) != (ec1 & 0x2) || (ec1 & 0x2) != (ec2 & 0x2) ||
+ (ec2 & 0x2) != (ec3 & 0x2) )
+ {
+ xR = eMD[0][5] = this->Dims[0]-1; //reset right trim
+ }
+ }
+ }
+ else //contour cuts through without intersecting x-edges, reset trim edges
+ {
+ xL = eMD[0][4] = 0;
+ xR = eMD[0][5] = this->Dims[0]-1;
+ }
+
+ // Okay run along the x-voxels and count the number of y- and
+ // z-intersections. Here we are just checking y,z edges that make up the
+ // voxel axes. Also check the number of primitives generated.
+ unsigned char *edgeUses, eCase, numTris;
+ ePtr[0] += xL; ePtr[1] += xL; ePtr[2] += xL; ePtr[3] += xL;
+ for (i=xL; i < xR; ++i) //run along the trimmed x-voxels
+ {
+ eCase = this->GetEdgeCase(ePtr);
+ if ( (numTris=this->GetNumberOfPrimitives(eCase)) > 0 )
+ {
+ // Okay let's increment the triangle count. But only if the voxel
+ // is valid and primitives are to be generated.
+ if ( this->GeneratePrimitives(ePtr) )
+ {
+ eMD[0][3] += numTris;
+ }
+
+ // Count the number of y- and z-points to be generated. Pass# 1 counted
+ // the number of x-intersections along the x-edges. Now we count all
+ // intersections on the y- and z-voxel axes.
+ edgeUses = this->GetEdgeUses(eCase);
+ eMD[0][1] += edgeUses[4]; //y-voxel axes edge always counted
+ eMD[0][2] += edgeUses[8]; //z-voxel axes edge always counted
+ loc = yzLoc | (i >= (this->Dims[0]-2) ? MaxBoundary : Interior);
+ if ( loc != 0 )
+ {
+ this->CountBoundaryYZInts(loc,edgeUses,eMD);
+ }
+ }//if cell contains contour
+
+ // advance the four pointers along voxel row
+ ePtr[0]++; ePtr[1]++; ePtr[2]++; ePtr[3]++;
+ }//for all voxels along this x-edge
+}
+
+//----------------------------------------------------------------------------
+// PASS 4: Process the x-row cells to generate output primitives, including
+// point coordinates and triangles. This is the fourth and final pass of the
+// algorithm.
+template <class T> void vtkExtractSurfaceAlgorithm<T>::
+GenerateOutput(double value, T* rowPtr, vtkIdType row, vtkIdType slice)
+{
+ // Grab the edge meta data surrounding the voxel row.
+ vtkIdType *eMD[4];
+ eMD[0] = this->EdgeMetaData + (slice*this->Dims[1] + row)*6; //this x-edge
+ eMD[1] = eMD[0] + 6; //x-edge in +y direction
+ eMD[2] = eMD[0] + this->Dims[1]*6; //x-edge in +z direction
+ eMD[3] = eMD[2] + 6; //x-edge in +y+z direction
+
+ // Return if there is nothing to do (i.e., no triangles to generate)
+ if ( eMD[0][3] == eMD[1][3] )
+ {
+ return;
+ }
+
+ // Get the voxel row trim edges and prepare to generate. Find the voxel row
+ // trim edges, need to check all four x-edges to compute row trim edge.
+ vtkIdType xL=eMD[0][4], xR=eMD[0][5];
+ vtkIdType i;
+ for (i=1; i < 4; ++i)
+ {
+ xL = ( eMD[i][4] < xL ? eMD[i][4] : xL);
+ xR = ( eMD[i][5] > xR ? eMD[i][5] : xR);
+ }
+
+ // Grab the four edge cases bounding this voxel x-row. Begin at left trim edge.
+ unsigned char *ePtr[4];
+ ePtr[0] = this->XCases + slice*this->SliceOffset + row*(this->Dims[0]-1) + xL;
+ ePtr[1] = ePtr[0] + this->Dims[0]-1;
+ ePtr[2] = ePtr[0] + this->SliceOffset;
+ ePtr[3] = ePtr[2] + this->Dims[0]-1;
+
+ // Traverse all voxels in this row, those containing the contour are
+ // further identified for processing, meaning generating points and
+ // triangles. Begin by setting up point ids on voxel edges.
+ vtkIdType triId = eMD[0][3];
+ vtkIdType eIds[12]; //the ids of generated points
+
+ unsigned char eCase = this->InitVoxelIds(ePtr,eMD,eIds);
+
+ // Determine the proximity to the boundary of volume. This information is
+ // used to generate edge intersections.
+ unsigned char loc, yLoc, zLoc, yzLoc;
+ yLoc = (row < 1 ? MinBoundary :
+ (row >= (this->Dims[1]-2) ? MaxBoundary : Interior));
+ zLoc = (slice < 1 ? MinBoundary :
+ (slice >= (this->Dims[2]-2) ? MaxBoundary : Interior));
+ yzLoc = (yLoc << 2) | (zLoc << 4);
+
+ // Run along voxels in x-row direction and generate output primitives. Note
+ // that active voxel axes edges are interpolated to produce points and
+ // possibly interpolate attribute data.
+ float x[3];
+ x[0] = this->Origin[0] + xL*this->Spacing[0];
+ x[1] = this->Origin[1] + row*this->Spacing[1];
+ x[2] = this->Origin[2] + slice*this->Spacing[2];
+
+ //compute the ijk for this section
+ vtkIdType ijk[3] = { xL, row, slice};
+
+ //load the inc0/inc1/inc2 into local memory
+ const int incs[3] = { this->Inc0, this->Inc1, this->Inc2 };
+ const T* sPtr = rowPtr + xL*incs[0];
+
+ for (i=xL; i < xR; ++i)
+ {
+ const unsigned char numTris = this->GetNumberOfPrimitives(eCase);
+ if ( numTris > 0 )
+ {
+ // Start by generating triangles for this case
+ if ( this->GeneratePrimitives(ePtr) )
+ {
+ this->GenerateTris(eCase,numTris,eIds,triId);
+ }
+
+ // Now generate point(s) along voxel axes if needed. Remember to take
+ // boundary into account.
+ loc = yzLoc | (i < 1 ? MinBoundary :
+ (i >= (this->Dims[0]-2) ? MaxBoundary : Interior));
+ if ( this->CaseIncludesAxes(eCase) || loc != Interior )
+ {
+ unsigned char const * const edgeUses = this->GetEdgeUses(eCase);
+ this->GeneratePoints(value, loc, ijk,
+ sPtr, incs,
+ x, edgeUses, eIds);
+ }
+ this->AdvanceVoxelIds(eCase,eIds);
+ }
+
+ // advance along voxel row
+ ePtr[0]++; ePtr[1]++; ePtr[2]++; ePtr[3]++;
+ eCase = this->GetEdgeCase(ePtr);
+
+ ++ijk[0];
+ sPtr += incs[0];
+ x[0]+= this->Spacing[0];
+ } //for all non-trimmed cells along this x-edge
+}
+
+//----------------------------------------------------------------------------
+// Contouring filter specialized for 3D volumes. This templated function
+// interfaces the vtkExtractSurface class with the templated algorithm
+// class. It also invokes the three passes of the Flying Edges algorithm.
+template <class T> void vtkExtractSurfaceAlgorithm<T>::
+Contour(vtkExtractSurface *self, vtkImageData *input, int extent[6],
+ vtkIdType *incs, T *scalars, vtkPoints *newPts, vtkCellArray *newTris,
+ vtkFloatArray *newNormals, vtkFloatArray *newGradients)
+{
+ double value;
+ int numContours = 1;
+ vtkIdType vidx, row, slice, *eMD, zInc;
+ vtkIdType numOutXPts, numOutYPts, numOutZPts, numOutTris;
+ vtkIdType numXPts=0, numYPts=0, numZPts=0, numTris=0;
+ vtkIdType startXPts, startYPts, startZPts, startTris;
+ startXPts = startYPts = startZPts = startTris = 0;
+
+ // This may be subvolume of the total 3D image. Capture information for
+ // subsequent processing.
+ vtkExtractSurfaceAlgorithm<T> algo;
+ algo.Scalars = scalars;
+ algo.Radius = self->GetRadius();
+ input->GetOrigin(algo.Origin);
+ input->GetSpacing(algo.Spacing);
+ algo.Min0 = extent[0];
+ algo.Max0 = extent[1];
+ algo.Inc0 = incs[0];
+ algo.Min1 = extent[2];
+ algo.Max1 = extent[3];
+ algo.Inc1 = incs[1];
+ algo.Min2 = extent[4];
+ algo.Max2 = extent[5];
+ algo.Inc2 = incs[2];
+ algo.AdjustOrigin();
+
+ // Now allocate working arrays. The XCases array tracks x-edge cases.
+ algo.Dims[0] = algo.Max0 - algo.Min0 + 1;
+ algo.Dims[1] = algo.Max1 - algo.Min1 + 1;
+ algo.Dims[2] = algo.Max2 - algo.Min2 + 1;
+ algo.NumberOfEdges = algo.Dims[1]*algo.Dims[2];
+ algo.SliceOffset = (algo.Dims[0]-1) * algo.Dims[1];
+ algo.XCases = new unsigned char [(algo.Dims[0]-1)*algo.NumberOfEdges];
+
+ // Also allocate the characterization (metadata) array for the x edges.
+ // This array tracks the number of x-, y- and z- intersections on the voxel
+ // axes along an x-edge; as well as the number of the output triangles, and
+ // the xMin_i and xMax_i (minimum index of first intersection, maximum
+ // index of intersection for the ith x-row, the so-called trim edges used
+ // for computational trimming).
+ algo.EdgeMetaData = new vtkIdType [algo.NumberOfEdges*6];
+
+ // Loop across each contour value. This encompasses all three passes.
+ for (vidx = 0; vidx < numContours; vidx++)
+ {
+ value = 0.0; //single pass, zero-crossing isosurface
+
+ // PASS 1: Traverse all x-rows building edge cases and counting number of
+ // intersections (i.e., accumulate information necessary for later output
+ // memory allocation, e.g., the number of output points along the x-rows
+ // are counted).
+ Pass1<T> pass1(&algo,value);
+ vtkSMPTools::For(0,algo.Dims[2], pass1);
+
+ // PASS 2: Traverse all voxel x-rows and process voxel y&z edges. The
+ // result is a count of the number of y- and z-intersections, as well as
+ // the number of triangles generated along these voxel rows.
+ Pass2<T> pass2(&algo);
+ vtkSMPTools::For(0,algo.Dims[2]-1, pass2);
+
+ // PASS 3: Now allocate and generate output. First we have to update the
+ // edge meta data to partition the output into separate pieces so
+ // independent threads can write without collisions. Once allocation is
+ // complete, the volume is processed on a voxel row by row basis to
+ // produce output points and triangles, and interpolate point attribute
+ // data (as necessary). NOTE: This implementation is serial. It is
+ // possible to use a threaded prefix sum to make it even faster. Since
+ // this pass usually takes a small amount of time, we choose simplicity
+ // over performance.
+ numOutXPts = startXPts;
+ numOutYPts = startYPts;
+ numOutZPts = startZPts;
+ numOutTris = startTris;
+
+ // Count number of points and tris generate along each cell row
+ for (slice=0; slice < algo.Dims[2]; ++slice)
+ {
+ zInc = slice * algo.Dims[1];
+ for (row=0; row < algo.Dims[1]; ++row)
+ {
+ eMD = algo.EdgeMetaData + (zInc+row)*6;
+ numXPts = eMD[0];
+ numYPts = eMD[1];
+ numZPts = eMD[2];
+ numTris = eMD[3];
+ eMD[0] = numOutXPts + numOutYPts + numOutZPts;
+ eMD[1] = eMD[0] + numXPts;
+ eMD[2] = eMD[1] + numYPts;
+ eMD[3] = numOutTris;
+ numOutXPts += numXPts;
+ numOutYPts += numYPts;
+ numOutZPts += numZPts;
+ numOutTris += numTris;
+ }
+ }
+
+ // Output can now be allocated.
+ vtkIdType totalPts = numOutXPts + numOutYPts + numOutZPts;
+ if ( totalPts > 0 )
+ {
+ newPts->GetData()->WriteVoidPointer(0,3*totalPts);
+ algo.NewPoints = static_cast<float*>(newPts->GetVoidPointer(0));
+ newTris->WritePointer(numOutTris,4*numOutTris);
+ algo.NewTris = static_cast<vtkIdType*>(newTris->GetPointer());
+
+ if (newGradients)
+ {
+ newGradients->WriteVoidPointer(0,3*totalPts);
+ algo.NewGradients = static_cast<float*>(newGradients->GetVoidPointer(0));
+ }
+ if (newNormals)
+ {
+ newNormals->WriteVoidPointer(0,3*totalPts);
+ algo.NewNormals = static_cast<float*>(newNormals->GetVoidPointer(0));
+ }
+ algo.NeedGradients = (algo.NewGradients || algo.NewNormals);
+
+ // PASS 4: Fourth and final pass: Process voxel rows and generate output.
+ // Note that we are simultaneously generating triangles and interpolating
+ // points. These could be split into separate, parallel operations for
+ // maximum performance.
+ Pass4<T> pass4(&algo,value);
+ vtkSMPTools::For(0,algo.Dims[2]-1, pass4);
+ }//if anything generated
+
+ // Handle multiple contours
+ startXPts = numOutXPts;
+ startYPts = numOutYPts;
+ startZPts = numOutZPts;
+ startTris = numOutTris;
+ }// for all contour values
+
+ // Clean up and return
+ delete [] algo.XCases;
+ delete [] algo.EdgeMetaData;
+}
+
+//----------------------------------------------------------------------------
+// Here is the VTK class proper.
+// Construct object with a single contour value of 0.0.
+vtkExtractSurface::vtkExtractSurface()
+{
+ this->Radius = 0.1;
+ this->HoleFilling = false;
+ this->ComputeNormals = 1;
+ this->ComputeGradients = 0;
+
+ // by default process active point scalars
+ this->SetInputArrayToProcess(0,0,0,vtkDataObject::FIELD_ASSOCIATION_POINTS,
+ vtkDataSetAttributes::SCALARS);
+}
+
+//----------------------------------------------------------------------------
+vtkExtractSurface::~vtkExtractSurface()
+{
+}
+
+//----------------------------------------------------------------------------
+int vtkExtractSurface::RequestUpdateExtent(
+ vtkInformation *vtkNotUsed(request),
+ vtkInformationVector **inputVector,
+ vtkInformationVector *outputVector)
+{
+ // These require extra ghost levels
+ if (this->ComputeGradients || this->ComputeNormals)
+ {
+ vtkInformation *inInfo = inputVector[0]->GetInformationObject(0);
+ vtkInformation *outInfo = outputVector->GetInformationObject(0);
+
+ int ghostLevels;
+ ghostLevels =
+ outInfo->Get(
+ vtkStreamingDemandDrivenPipeline::UPDATE_NUMBER_OF_GHOST_LEVELS());
+ inInfo->Set(vtkStreamingDemandDrivenPipeline::UPDATE_NUMBER_OF_GHOST_LEVELS(),
+ ghostLevels + 1);
+ }
+
+ return 1;
+}
+
+//----------------------------------------------------------------------------
+int vtkExtractSurface::RequestData(
+ vtkInformation *request,
+ vtkInformationVector **inputVector,
+ vtkInformationVector *outputVector)
+{
+ vtkDebugMacro(<< "Executing 3D structured contour");
+
+ // get the info objects
+ vtkInformation *inInfo = inputVector[0]->GetInformationObject(0);
+ vtkInformation *outInfo = outputVector->GetInformationObject(0);
+
+ // get the input and output
+ vtkImageData *input = vtkImageData::SafeDownCast(
+ inInfo->Get(vtkDataObject::DATA_OBJECT()));
+ vtkPolyData *output = vtkPolyData::SafeDownCast(
+ outInfo->Get(vtkDataObject::DATA_OBJECT()));
+
+ // to be safe recompute the update extent
+ this->RequestUpdateExtent(request,inputVector,outputVector);
+ vtkDataArray *inScalars = this->GetInputArrayToProcess(0,inputVector);
+
+ // Determine extent
+ int* inExt = input->GetExtent();
+ int exExt[6];
+ inInfo->Get(vtkStreamingDemandDrivenPipeline::UPDATE_EXTENT(), exExt);
+ for (int i=0; i<3; i++)
+ {
+ if (inExt[2*i] > exExt[2*i])
+ {
+ exExt[2*i] = inExt[2*i];
+ }
+ if (inExt[2*i+1] < exExt[2*i+1])
+ {
+ exExt[2*i+1] = inExt[2*i+1];
+ }
+ }
+ if ( exExt[0] >= exExt[1] || exExt[2] >= exExt[3] || exExt[4] >= exExt[5] )
+ {
+ vtkDebugMacro(<<"3D structured contours requires 3D data");
+ return 0;
+ }
+
+ // Check data type and execute appropriate function
+ //
+ if (inScalars == NULL)
+ {
+ vtkDebugMacro("No scalars for contouring.");
+ return 0;
+ }
+
+ // Create necessary objects to hold output. We will defer the
+ // actual allocation to a later point.
+ vtkCellArray *newTris = vtkCellArray::New();
+ vtkPoints *newPts = vtkPoints::New();
+ newPts->SetDataTypeToFloat();
+ vtkFloatArray *newNormals = NULL;
+ vtkFloatArray *newGradients = NULL;
+
+ if (this->ComputeNormals)
+ {
+ newNormals = vtkFloatArray::New();
+ newNormals->SetNumberOfComponents(3);
+ newNormals->SetName("Normals");
+ }
+ if (this->ComputeGradients)
+ {
+ newGradients = vtkFloatArray::New();
+ newGradients->SetNumberOfComponents(3);
+ newGradients->SetName("Gradients");
+ }
+
+ void *ptr = input->GetArrayPointerForExtent(inScalars, exExt);
+ vtkIdType *incs = input->GetIncrements();
+ switch (inScalars->GetDataType())
+ {
+ vtkTemplateMacro(vtkExtractSurfaceAlgorithm<VTK_TT>::
+ Contour(this, input, exExt, incs, (VTK_TT *)ptr,
+ newPts, newTris, newNormals, newGradients));
+ }
+
+ vtkDebugMacro(<<"Created: "
+ << newPts->GetNumberOfPoints() << " points, "
+ << newTris->GetNumberOfCells() << " triangles");
+
+ // Update ourselves. Because we don't know up front how many lines
+ // we've created, take care to reclaim memory.
+ output->SetPoints(newPts);
+ newPts->Delete();
+
+ output->SetPolys(newTris);
+ newTris->Delete();
+
+ if (newNormals)
+ {
+ int idx = output->GetPointData()->AddArray(newNormals);
+ output->GetPointData()->SetActiveAttribute(idx, vtkDataSetAttributes::NORMALS);
+ newNormals->Delete();
+ }
+
+ if (newGradients)
+ {
+ int idx = output->GetPointData()->AddArray(newGradients);
+ output->GetPointData()->SetActiveAttribute(idx, vtkDataSetAttributes::VECTORS);
+ newGradients->Delete();
+ }
+
+ return 1;
+}
+
+//----------------------------------------------------------------------------
+int vtkExtractSurface::FillInputPortInformation(int, vtkInformation *info)
+{
+ info->Set(vtkAlgorithm::INPUT_REQUIRED_DATA_TYPE(), "vtkImageData");
+ return 1;
+}
+
+//----------------------------------------------------------------------------
+void vtkExtractSurface::PrintSelf(ostream& os, vtkIndent indent)
+{
+ this->Superclass::PrintSelf(os,indent);
+
+ os << indent << "Radius: " << this->Radius << "\n";
+ os << indent << "Hole Filling: " << (this->HoleFilling ? "On\n" : "Off\n");
+ os << indent << "Compute Normals: " << (this->ComputeNormals ? "On\n" : "Off\n");
+ os << indent << "Compute Gradients: " << (this->ComputeGradients ? "On\n" : "Off\n");
+}
diff --git a/Filters/Points/vtkExtractSurface.h b/Filters/Points/vtkExtractSurface.h
new file mode 100644
index 00000000000..cd9749983b3
--- /dev/null
+++ b/Filters/Points/vtkExtractSurface.h
@@ -0,0 +1,158 @@
+/*=========================================================================
+
+ Program: Visualization Toolkit
+ Module: vtkExtractSurface.h
+
+ Copyright (c) Kitware, Inc.
+ All rights reserved.
+ See LICENSE file for details.
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE. See the above copyright notice for more information.
+
+=========================================================================*/
+// .NAME vtkExtractSurface - generate zero-crossing isosurface from
+// truncated signed distance volume
+
+// .SECTION Description
+// This filter extracts the zero-crossing isosurface from a truncated signed
+// distance function TSDF. The TSDF is sampled across a volume, and is
+// extracted using a modified version of the Flying Edges algorithm for
+// increased speed, and to support multithreading. To use the filter, an
+// input volume should be assigned, which may have special values indicating
+// empty and/or unseen portions of the volume. These values are equal to +/-
+// radius value of the signed distance function, and should be consistent
+// with any filters used to generate the input volume (e.g.,
+// vtkSignedDistance).
+//
+// The Flying Edges algorithm is modified to deal with the nature of the
+// truncated, signed distance function. Being truncated, the distance
+// function typically is not computed throughout the volume, rather the
+// special data values "unseen" and/or "empty" maybe assigned to distant or
+// bordering voxels. The implications of this are that this implementation
+// may produce non-closed, non-manifold surfaces, which is what is needed
+// to extract surfaces.
+//
+// More specifically, voxels may exist in one of three states: 1) within the
+// TSDF, which extends +/-Radius from a generating geometry (typically a
+// point cloud); 2) in the empty state, in which it is known that the surface
+// does not exist; and 3) the unseen state, where a surface may exist but not
+// enough information is known to be certain. Such situations arise, for
+// example, when laser scanners generate point clouds, and the propagation of
+// the laser beam "carves" out regions where no geometry exists (thereby
+// defining empty space). Furthermore, areas in which the beam are occluded
+// by geometry are known as "unseen" and the boundary between empty and
+// unseen can be processed to produced a portion of the output isosurface
+// (this is called hole filling).
+
+// .SECTION Caveats
+// This class has been threaded with vtkSMPTools. Using TBB or other
+// non-sequential type (set in the CMake variable
+// VTK_SMP_IMPLEMENTATION_TYPE) may improve performance significantly.
+//
+// <pre>
+// Notes on the implementation:
+// 1. This is a lightly modified version of vtkFlyingEdges3D. Some design goals
+// included minimizing the impact on the FE algorithm, and not adding extra
+// memory requirements.
+// 2. It presumes an isocontour value=0.0 (the zero crossing of a signed
+// distance function).
+// 3. The major modifications are to the edge cases. In Flying Edges, a single
+// byte represents the case of an edge, and within that byte only 2 bits
+// are needed (the extra six bytes are not used). Here, these unused bytes
+// are repurposed to represent the "state" of the edge, whether it is
+// 1) near to the TSDF; 2) in an empty state; or 3) unseen state.
+// 4. Since these now-used bits encode extra state information, masking and
+// related methods are used to tease apart the edge cases from the edge
+// state.
+// 5. Voxels with edges marked "empty" are not processed, i.e., no output
+// triangle primitives are generated. Depending on whether hole filling is
+// enabled, voxels with edges marked "unseen" may not be processed either.
+// 6. As a result of #1 and #5, and the desire to keep the implementation simple,
+// it is possible to produce output points which are not attached to any output
+// triangle.
+//</pre>
+//
+// This algorithm loosely follows the most excellent paper by Curless and
+// Levoy: "A Volumetric Method for Building Complex Models from Range
+// Images."
+
+// .SECTION See Also
+// vtkSignedDistance vtkFlyingEdges3D
+
+#ifndef vtkExtractSurface_h
+#define vtkExtractSurface_h
+
+#include "vtkFiltersPointsModule.h" // For export macro
+#include "vtkPolyDataAlgorithm.h"
+#include "vtkContourValues.h" // Passes calls through
+
+class vtkImageData;
+
+class VTKFILTERSPOINTS_EXPORT vtkExtractSurface : public vtkPolyDataAlgorithm
+{
+public:
+ // Description:
+ // Standard methods for instantiating the class, providing type information,
+ // and printing.
+ static vtkExtractSurface *New();
+ vtkTypeMacro(vtkExtractSurface,vtkPolyDataAlgorithm);
+ void PrintSelf(ostream& os, vtkIndent indent);
+
+ // Description:
+ // Specify the radius of influence of the signed distance function. Data
+ // values (which are distances) that are greater than or equal to the
+ // radius (i.e., d >= Radius) are considered unseen voxels; those voxel
+ // data values d <= -Radius are considered empty voxels.
+ vtkSetClampMacro(Radius,double,0.0,VTK_FLOAT_MAX);
+ vtkGetMacro(Radius,double);
+
+ // Description:
+ // Enable hole filling. This generates separating surfaces between the
+ // empty and unseen portions of the volume.
+ vtkSetMacro(HoleFilling,bool);
+ vtkGetMacro(HoleFilling,bool);
+ vtkBooleanMacro(HoleFilling,bool);
+
+ // Description:
+ // Set/Get the computation of normals. Normal computation is fairly
+ // expensive in both time and storage. If the output data will be processed
+ // by filters that modify topology or geometry, it may be wise to turn
+ // Normals and Gradients off.
+ vtkSetMacro(ComputeNormals,int);
+ vtkGetMacro(ComputeNormals,int);
+ vtkBooleanMacro(ComputeNormals,int);
+
+ // Description:
+ // Set/Get the computation of gradients. Gradient computation is fairly
+ // expensive in both time and storage. Note that if ComputeNormals is on,
+ // gradients will have to be calculated, but will not be stored in the
+ // output dataset. If the output data will be processed by filters that
+ // modify topology or geometry, it may be wise to turn Normals and
+ // Gradients off.
+ vtkSetMacro(ComputeGradients,int);
+ vtkGetMacro(ComputeGradients,int);
+ vtkBooleanMacro(ComputeGradients,int);
+
+protected:
+ vtkExtractSurface();
+ ~vtkExtractSurface();
+
+ double Radius;
+ bool HoleFilling;
+ int ComputeNormals;
+ int ComputeGradients;
+
+ virtual int RequestData(vtkInformation *, vtkInformationVector **,
+ vtkInformationVector *);
+ virtual int RequestUpdateExtent(vtkInformation *, vtkInformationVector **,
+ vtkInformationVector *);
+ virtual int FillInputPortInformation(int port, vtkInformation *info);
+
+private:
+ vtkExtractSurface(const vtkExtractSurface&) VTK_DELETE_FUNCTION;
+ void operator=(const vtkExtractSurface&) VTK_DELETE_FUNCTION;
+};
+
+#endif
diff --git a/Filters/Points/vtkFitImplicitFunction.cxx b/Filters/Points/vtkFitImplicitFunction.cxx
new file mode 100644
index 00000000000..f6fc04110f8
--- /dev/null
+++ b/Filters/Points/vtkFitImplicitFunction.cxx
@@ -0,0 +1,141 @@
+/*=========================================================================
+
+ Program: Visualization Toolkit
+ Module: vtkFitImplicitFunction.cxx
+
+ Copyright (c) Kitware, Inc.
+ All rights reserved.
+ See LICENSE file for details.
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE. See the above copyright notice for more information.
+
+=========================================================================*/
+#include "vtkFitImplicitFunction.h"
+
+#include "vtkObjectFactory.h"
+#include "vtkPointSet.h"
+#include "vtkPoints.h"
+#include "vtkImplicitFunction.h"
+#include "vtkSMPTools.h"
+
+vtkStandardNewMacro(vtkFitImplicitFunction);
+vtkCxxSetObjectMacro(vtkFitImplicitFunction,ImplicitFunction,vtkImplicitFunction);
+
+//----------------------------------------------------------------------------
+// Helper classes to support efficient computing, and threaded execution.
+namespace {
+
+//----------------------------------------------------------------------------
+// The threaded core of the algorithm
+template <typename T>
+struct ExtractPoints
+{
+ const T *Points;
+ vtkImplicitFunction *Function;
+ double Threshold;
+ vtkIdType *PointMap;
+
+ ExtractPoints(T *points, vtkImplicitFunction *f, double thresh, vtkIdType *map) :
+ Points(points), Function(f), Threshold(thresh), PointMap(map)
+ {
+ }
+
+ void operator() (vtkIdType ptId, vtkIdType endPtId)
+ {
+ const T *p = this->Points + 3*ptId;
+ vtkIdType *map = this->PointMap + ptId;
+ vtkImplicitFunction *f = this->Function;
+ double x[3], val;
+ double tMin = (-this->Threshold);
+ double tMax = this->Threshold;
+
+ for ( ; ptId < endPtId; ++ptId)
+ {
+ x[0] = static_cast<double>(*p++);
+ x[1] = static_cast<double>(*p++);
+ x[2] = static_cast<double>(*p++);
+
+ val = f->FunctionValue(x);
+ *map++ = ( (val >= tMin && val < tMax) ? 1 : -1 );
+ }
+ }
+
+ static void Execute(vtkFitImplicitFunction *self, vtkIdType numPts,
+ T *points, vtkIdType *map)
+ {
+ ExtractPoints extract(points, self->GetImplicitFunction(),
+ self->GetThreshold(), map);
+ vtkSMPTools::For(0, numPts, extract);
+ }
+
+}; //ExtractPoints
+
+} //anonymous namespace
+
+//================= Begin class proper =======================================
+//----------------------------------------------------------------------------
+vtkFitImplicitFunction::vtkFitImplicitFunction()
+{
+ this->ImplicitFunction = NULL;
+ this->Threshold = 0.01;
+}
+
+//----------------------------------------------------------------------------
+vtkFitImplicitFunction::~vtkFitImplicitFunction()
+{
+ this->SetImplicitFunction(NULL);
+}
+
+//----------------------------------------------------------------------------
+// Overload standard modified time function. If implicit function is modified,
+// then this object is modified as well.
+vtkMTimeType vtkFitImplicitFunction::GetMTime()
+{
+ vtkMTimeType mTime=this->MTime.GetMTime();
+ vtkMTimeType impFuncMTime;
+
+ if ( this->ImplicitFunction != NULL )
+ {
+ impFuncMTime = this->ImplicitFunction->GetMTime();
+ mTime = ( impFuncMTime > mTime ? impFuncMTime : mTime );
+ }
+
+ return mTime;
+}
+
+//----------------------------------------------------------------------------
+// Traverse all the input points and extract those that lie near the surface
+// of an implicit function.
+int vtkFitImplicitFunction::FilterPoints(vtkPointSet *input)
+{
+ // Check the input.
+ if ( !this->ImplicitFunction )
+ {
+ vtkErrorMacro(<<"Implicit function required\n");
+ return 0;
+ }
+
+ // Determine which points, if any, should be removed. We create a map
+ // to keep track. The bulk of the algorithmic work is done in this pass.
+ vtkIdType numPts = input->GetNumberOfPoints();
+ void *inPtr = input->GetPoints()->GetVoidPointer(0);
+ switch (input->GetPoints()->GetDataType())
+ {
+ vtkTemplateMacro(ExtractPoints<VTK_TT>::
+ Execute(this, numPts, (VTK_TT *)inPtr, this->PointMap));
+ }
+
+ return 1;
+}
+
+//----------------------------------------------------------------------------
+void vtkFitImplicitFunction::PrintSelf(ostream& os, vtkIndent indent)
+{
+ this->Superclass::PrintSelf(os,indent);
+
+ os << indent << "Implicit Function: "
+ << static_cast<void *>(this->ImplicitFunction) << "\n";
+ os << indent << "Threshold: " << this->Threshold << "\n";
+}
diff --git a/Filters/Points/vtkFitImplicitFunction.h b/Filters/Points/vtkFitImplicitFunction.h
new file mode 100644
index 00000000000..aa3045e45c9
--- /dev/null
+++ b/Filters/Points/vtkFitImplicitFunction.h
@@ -0,0 +1,103 @@
+/*=========================================================================
+
+ Program: Visualization Toolkit
+ Module: vtkFitImplicitFunction.h
+
+ Copyright (c) Kitware, Inc.
+ All rights reserved.
+ See LICENSE file for details.
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE. See the above copyright notice for more information.
+
+=========================================================================*/
+// .NAME vtkFitImplicitFunction - extract points on the surface of an implicit function
+
+// .SECTION Description
+// vtkFitImplicitFunction extract points that are on the surface of an
+// implicit function (within some threshold). Implicit functions in VTK are
+// any function of the form f(x,y,z)=c, where values c==0 are considered the
+// surface of the implicit function. Typical examples of implicit functions
+// include planes, spheres, cylinders, cones, etc. plus boolean combinations
+// of these functions. In this implementation, a threshold is used to create
+// a fuzzy region considered "on" the surface. In essence, this is a very
+// poor man's RANSAC algorithm, where the user picks a function on which to
+// fit some points. Thus it is possible to use this filter to define a
+// proposed model and place it into an optimization loop to best fit it to a
+// set of points.
+//
+// Note that while any vtkPointSet type can be provided as input, the output is
+// represented by an explicit representation of points via a
+// vtkPolyData. This output polydata will populate its instance of vtkPoints,
+// but no cells will be defined (i.e., no vtkVertex or vtkPolyVertex are
+// contained in the output). Also, after filter execution, the user can
+// request a vtkIdType* map which indicates how the input points were mapped
+// to the output. A value of map[i] (where i is the ith input point) less
+// than 0 means that the ith input point was removed. (See also the
+// superclass documentation for accessing the removed points through the
+// filter's second output.)
+
+// .SECTION Caveats
+// This class has been threaded with vtkSMPTools. Using TBB or other
+// non-sequential type (set in the CMake variable
+// VTK_SMP_IMPLEMENTATION_TYPE) may improve performance significantly.
+
+// .SECTION See Also
+// vtkPointCloudFilter vtkExtractPoints vtkImplicitFunction
+
+#ifndef vtkFitImplicitFunction_h
+#define vtkFitImplicitFunction_h
+
+#include "vtkFiltersPointsModule.h" // For export macro
+#include "vtkPointCloudFilter.h"
+
+class vtkImplicitFunction;
+class vtkPointSet;
+
+
+class VTKFILTERSPOINTS_EXPORT vtkFitImplicitFunction : public vtkPointCloudFilter
+{
+public:
+ // Description:
+ // Standard methods for instantiating, obtaining type information, and
+ // printing information.
+ static vtkFitImplicitFunction *New();
+ vtkTypeMacro(vtkFitImplicitFunction,vtkPointCloudFilter);
+ void PrintSelf(ostream& os, vtkIndent indent);
+
+ // Description:
+ // Specify the implicit function defining a surface on which points
+ // are to be extracted.
+ virtual void SetImplicitFunction(vtkImplicitFunction*);
+ vtkGetObjectMacro(ImplicitFunction,vtkImplicitFunction);
+
+ // Description:
+ // Specify a threshold value which defines a fuzzy extraction surface.
+ // Since in this filter the implicit surface is defined as f(x,y,z)=0;
+ // the extracted points are (-Threshold <= f(x,y,z) < Threshold).
+ vtkSetClampMacro(Threshold,double,0.0,VTK_FLOAT_MAX);
+ vtkGetMacro(Threshold,double);
+
+ // Description:
+ // Return the MTime taking into account changes to the implicit function.
+ virtual vtkMTimeType GetMTime();
+
+protected:
+ vtkFitImplicitFunction();
+ ~vtkFitImplicitFunction();
+
+ vtkImplicitFunction *ImplicitFunction;
+ double Threshold;
+
+ // All derived classes must implement this method. Note that a side effect of
+ // the class is to populate the PointMap. Zero is returned if there is a failure.
+ virtual int FilterPoints(vtkPointSet *input);
+
+private:
+ vtkFitImplicitFunction(const vtkFitImplicitFunction&) VTK_DELETE_FUNCTION;
+ void operator=(const vtkFitImplicitFunction&) VTK_DELETE_FUNCTION;
+
+};
+
+#endif
diff --git a/Filters/Points/vtkHierarchicalBinningFilter.cxx b/Filters/Points/vtkHierarchicalBinningFilter.cxx
new file mode 100644
index 00000000000..dd413d74da1
--- /dev/null
+++ b/Filters/Points/vtkHierarchicalBinningFilter.cxx
@@ -0,0 +1,922 @@
+/*=========================================================================
+
+ Program: Visualization Toolkit
+ Module: vtkHierarchicalBinningFilter.cxx
+
+ Copyright (c) Kitware, Inc.
+ All rights reserved.
+ See LICENSE file for details.
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE. See the above copyright notice for more information.
+
+=========================================================================*/
+#include "vtkHierarchicalBinningFilter.h"
+
+#include "vtkObjectFactory.h"
+#include "vtkPointSet.h"
+#include "vtkPoints.h"
+#include "vtkIntArray.h"
+#include "vtkIdTypeArray.h"
+#include "vtkDoubleArray.h"
+#include "vtkPointData.h"
+#include "vtkFieldData.h"
+#include "vtkInformation.h"
+#include "vtkInformationVector.h"
+#include "vtkMath.h"
+#include "vtkSMPTools.h"
+
+vtkStandardNewMacro(vtkHierarchicalBinningFilter);
+
+namespace {
+
+//-----------------------------------------------------------------------------
+// Number ^ index: power function for integers.
+static int power(int number, int level)
+{
+ if (level == 0)
+ {
+ return 1;
+ }
+ int num = number;
+ for (int i = 1; i < level; i++)
+ {
+ number = number * num;
+ }
+ return number;
+}
+
+//----------------------------------------------------------------------------
+static int GetLevelOffset(int level, int divs[3])
+{
+ int block = divs[0] * divs[1] * divs[2];
+ int offset = 0;
+ for (int i=0; i<level; ++i)
+ {
+ offset += power( block, i);
+ }
+ return offset;
+}
+
+//-----------------------------------------------------------------------------
+// The hierarchy of uniform subdivided binning grids.
+struct UniformBinning
+{
+ int Level;
+ int Divs[3];
+ double Bounds[6];
+ int NumBins; //number of bins in this level of the tree
+ int LevelOffset; //offset from root bin
+
+ // These are internal data members used for performance reasons
+ double H[3];
+ double hX, hY, hZ;
+ double fX, fY, fZ, bX, bY, bZ;
+ vtkIdType xD, yD, zD, xyD;
+
+ // Construction. Provide the current level, and the global binning
+ // divisions, and the global bounds.
+ UniformBinning(int level, int divs[3], double bounds[6])
+ {
+ this->Level = level;
+
+ this->Divs[0] = power( divs[0], level);
+ this->Divs[1] = power( divs[1], level);
+ this->Divs[2] = power( divs[2], level);
+ this->NumBins = this->Divs[0] * this->Divs[1] * this->Divs[2];
+
+ this->Bounds[0] = bounds[0];
+ this->Bounds[1] = bounds[1];
+ this->Bounds[2] = bounds[2];
+ this->Bounds[3] = bounds[3];
+ this->Bounds[4] = bounds[4];
+ this->Bounds[5] = bounds[5];
+
+ this->H[0] = (this->Bounds[1] - this->Bounds[0]) / static_cast<double>(this->Divs[0]);
+ this->H[1] = (this->Bounds[3] - this->Bounds[2]) / static_cast<double>(this->Divs[1]);
+ this->H[2] = (this->Bounds[5] - this->Bounds[4]) / static_cast<double>(this->Divs[2]);
+
+ this->LevelOffset = GetLevelOffset(level,divs);
+
+ // Setup internal data members for more efficient processing.
+ this->hX = this->H[0];
+ this->hY = this->H[1];
+ this->hZ = this->H[2];
+ this->fX = 1.0 / this->H[0];
+ this->fY = 1.0 / this->H[1];
+ this->fZ = 1.0 / this->H[2];
+ this->bX = this->Bounds[0];
+ this->bY = this->Bounds[2];
+ this->bZ = this->Bounds[4];
+ this->xD = this->Divs[0];
+ this->yD = this->Divs[1];
+ this->zD = this->Divs[2];
+ this->xyD = this->Divs[0] * this->Divs[1];
+ }
+
+
+ //-----------------------------------------------------------------------------
+ // Inlined for performance. These function invocations must be called after
+ // BuildLocator() is invoked, otherwise the output is indeterminate.
+ void GetBinIndices(const double *x, int ijk[3]) const
+ {
+ // Compute point index. Make sure it lies within range of locator.
+ ijk[0] = static_cast<int>(((x[0] - bX) * fX));
+ ijk[1] = static_cast<int>(((x[1] - bY) * fY));
+ ijk[2] = static_cast<int>(((x[2] - bZ) * fZ));
+
+ ijk[0] = (ijk[0] < 0 ? 0 : (ijk[0] >= xD ? xD-1 : ijk[0]));
+ ijk[1] = (ijk[1] < 0 ? 0 : (ijk[1] >= yD ? yD-1 : ijk[1]));
+ ijk[2] = (ijk[2] < 0 ? 0 : (ijk[2] >= zD ? zD-1 : ijk[2]));
+ }
+
+ //-----------------------------------------------------------------------------
+ // The bin offset is used to uniquefy the id across the hierarchy of binning grids
+ vtkIdType GetBinIndex(const double *x) const
+ {
+ int ijk[3];
+ this->GetBinIndices(x, ijk);
+ return (this->LevelOffset + ijk[0] + ijk[1]*xD + ijk[2]*xyD);
+ }
+
+ //-----------------------------------------------------------------------------
+ // Get the bounds for a particular bin at this level
+ void GetBinBounds(int localBin, double bounds[6])
+ {
+ int i = localBin % this->xD;
+ int j = (localBin / this->xD) % this->yD;
+ int k = localBin / this->xyD;
+ bounds[0] = this->Bounds[0] + i * hX;
+ bounds[1] = bounds[0] + this->hX;
+ bounds[2] = this->Bounds[2] + j * hY;
+ bounds[3] = bounds[2] + this->hY;
+ bounds[4] = this->Bounds[4] + k * hZ;
+ bounds[5] = bounds[4] + this->hZ;
+ }
+};
+
+} //anonymous namespace
+
+//-----------------------------------------------------------------------------
+// This non-templated class provides virtual functions to simplify the access
+// to the templated subclass. Note this is not in anonymous namespace because the
+// VTK class refers to it in the header file (PIMPLd).
+struct vtkBinTree
+{
+ vtkPoints *InPts; // the points to be binned
+ vtkIdType NumPts;
+
+ int NumLevels;
+ int Divs[3];
+ double Bounds[6];
+ UniformBinning *Tree[VTK_MAX_LEVEL+1]; // a uniform binning for each level
+ int NumBins; // the total number of bins (from all levels) in the tree
+ int BatchSize; //build the offsets in parallel
+
+ int OffsetsType;
+ vtkDataArray *OffsetsArray; // container for offset array
+
+ // Construction
+ vtkBinTree(vtkIdType npts, vtkPoints *pts, int numLevels, int divs[3],
+ double bounds[6], int offsetsType) :
+ InPts(pts), NumPts(npts), NumLevels(numLevels), OffsetsType(offsetsType)
+ {
+ this->Divs[0] = divs[0];
+ this->Divs[1] = divs[1];
+ this->Divs[2] = divs[2];
+
+ this->Bounds[0] = bounds[0];
+ this->Bounds[1] = bounds[1];
+ this->Bounds[2] = bounds[2];
+ this->Bounds[3] = bounds[3];
+ this->Bounds[4] = bounds[4];
+ this->Bounds[5] = bounds[5];
+
+ // Build the levels. We create an extra one; it simplifies things later.
+ this->NumBins = 0;
+ for (int level=0; level < this->NumLevels; ++level)
+ {
+ this->Tree[level] = new UniformBinning(level, divs, bounds);
+ this->NumBins += this->Tree[level]->NumBins;
+ }
+ this->Tree[this->NumLevels] = new UniformBinning(this->NumLevels, divs, bounds);
+
+ this->BatchSize = 0;
+
+ this->OffsetsType = offsetsType;
+ this->OffsetsArray = NULL;
+ }
+
+ // Virtual functions supporting convenience methods in templated subclass.
+ virtual ~vtkBinTree()
+ {
+ for (int i=0; i <= this->NumLevels; ++i)
+ {
+ delete this->Tree[i];
+ }
+ if ( this->OffsetsArray )
+ {
+ this->OffsetsArray->Delete();
+ this->OffsetsArray = NULL;
+ }
+ }
+ virtual void Execute(vtkPointSet *input, vtkPolyData *output) = 0;
+ int GetNumberOfGlobalBins()
+ {
+ return this->NumBins;
+ }
+ int GetNumberOfBins(int level)
+ {
+ return this->Tree[level]->NumBins;
+ }
+ virtual vtkIdType GetLevelOffset(int level, vtkIdType& npts) = 0;
+ virtual vtkIdType GetBinOffset(int globalBin, vtkIdType& npts) = 0;
+ virtual vtkIdType GetLocalBinOffset(int level, int localBin, vtkIdType& npts) = 0;
+ // Sometimes the global bin needs to be expressed as a local bin number +
+ // tree level.
+ void TranslateGlobalBinToLocalBin(int globalBin, int& level, int& localBin)
+ {
+ for ( level=this->NumLevels-1;
+ globalBin < this->Tree[level]->LevelOffset; --level )
+ {
+ ;
+ }
+ localBin = globalBin - this->Tree[level]->LevelOffset;
+ }
+ void GetBinBounds(int globalBin, double bounds[6])
+ {
+ int level, localBin;
+ this->TranslateGlobalBinToLocalBin(globalBin, level, localBin);
+ return this->Tree[level]->GetBinBounds(localBin, bounds);
+ }
+ void GetLocalBinBounds(int level, int localBin, double bounds[6])
+ {
+ return this->Tree[level]->GetBinBounds(localBin, bounds);
+ }
+
+ void ExportMetaData(vtkPolyData *output)
+ {
+ this->OffsetsArray->SetName("BinOffsets");
+ output->GetFieldData()->AddArray(this->OffsetsArray);
+
+ // Bounding box
+ vtkDoubleArray *da = vtkDoubleArray::New();
+ da->SetName("BinBounds");
+ da->SetNumberOfTuples(6);
+ for (int i=0; i<6; ++i)
+ {
+ da->SetValue(i,this->Bounds[i]);
+ }
+ output->GetFieldData()->AddArray(da);
+ da->Delete();
+
+ // Divisions
+ vtkIntArray *ia = vtkIntArray::New();
+ ia->SetName("BinDivisions");
+ ia->SetNumberOfTuples(3);
+ for (int i=0; i<3; ++i)
+ {
+ ia->SetValue(i,this->Divs[i]);
+ }
+ output->GetFieldData()->AddArray(ia);
+ ia->Delete();
+
+ }
+};
+
+//----------------------------------------------------------------------------
+// Helper classes to support efficient computing, and threaded execution.
+namespace {
+
+//-----------------------------------------------------------------------------
+// The following tuple is what is sorted in the map. Note that it is templated
+// because depending on the number of points / bins to process we may want
+// to use vtkIdType. Otherwise for performance reasons it's best to use an int
+// (or other integral type). Typically sort() is 25-30% faster on smaller
+// integral types, plus it takes a heck less memory (when vtkIdType is 64-bit
+// and int is 32-bit).
+template <typename TTuple>
+class BinTuple
+{
+public:
+ TTuple PtId; //originating point id
+ TTuple Bin; //i-j-k index into bin space
+
+ //Operator< used to support the subsequent sort operation.
+ bool operator< (const BinTuple& tuple) const
+ {return Bin < tuple.Bin;}
+};
+
+//-----------------------------------------------------------------------------
+// This templated class manages the creation of the binning tree. It also
+// implements the operator() functors which are supplied to vtkSMPTools for
+// threaded processesing.
+template <typename TIds>
+struct BinTree : public vtkBinTree
+{
+ BinTuple<TIds> *Map; //the map to be sorted
+ TIds *Offsets; //offsets for each bin into the map
+
+ // Construction
+ BinTree(vtkIdType npts, vtkPoints *pts, int numLevels, int divs[3],
+ double bounds[6], int offsetsType) :
+ vtkBinTree(npts, pts, numLevels, divs, bounds, offsetsType)
+ {
+ //one extra allocation to simplify traversal
+ this->Map = new BinTuple<TIds>[this->NumPts+1];
+ this->Map[this->NumPts].Bin = this->NumBins;
+ if ( offsetsType == VTK_INT )
+ {
+ this->OffsetsArray = vtkIntArray::New();
+ }
+ else
+ {
+ this->OffsetsArray = vtkIdTypeArray::New();
+ }
+ this->OffsetsArray->SetNumberOfTuples(this->NumBins+1);
+ this->Offsets = static_cast<TIds*>(this->OffsetsArray->GetVoidPointer(0));
+ this->Offsets[this->NumBins] = this->NumPts;
+ }
+
+ // Release allocated memory
+ virtual ~BinTree()
+ {
+ delete [] this->Map;
+ //Offsets data array deleted by superclass
+ }
+
+ // The number of point ids in a bin is determined by computing the
+ // difference between the offsets into the sorted points array.
+ vtkIdType GetNumberOfIds(vtkIdType binNum)
+ {
+ return (this->Offsets[binNum+1] - this->Offsets[binNum]);
+ }
+
+ // Given a bin number, return the point ids in that bin.
+ const BinTuple<TIds> *GetIds(vtkIdType binNum)
+ {
+ return this->Map + this->Offsets[binNum];
+ }
+
+ // Explicit point representation (e.g., vtkPointSet), faster path
+ template <typename T, typename TPts>
+ class MapPoints
+ {
+ public:
+ BinTree<T> *Tree;
+ const TPts *Points;
+ int Thresh[VTK_MAX_LEVEL];
+
+ MapPoints(BinTree<T> *tree, const TPts *pts) :
+ Tree(tree), Points(pts)
+ {
+ for (int i=0; i < this->Tree->NumLevels; ++i)
+ {
+ this->Thresh[i] = this->Tree->Tree[i]->LevelOffset;
+ }
+ }
+
+ void operator()(vtkIdType ptId, vtkIdType end)
+ {
+ double p[3];
+ const TPts *x = this->Points + 3*ptId;
+ BinTuple<T> *t = this->Tree->Map + ptId;
+ int numLevels = this->Tree->NumLevels;
+ int level, idx, numBins = this->Tree->NumBins;
+ for ( ; ptId < end; ++ptId, x+=3, ++t )
+ {
+ t->PtId = ptId;
+ p[0] = static_cast<double>(x[0]);
+ p[1] = static_cast<double>(x[1]);
+ p[2] = static_cast<double>(x[2]);
+ idx = ptId % numBins;
+
+ for ( level=numLevels-1; idx < this->Thresh[level]; --level )
+ {
+ ;
+ }
+ t->Bin = this->Tree->Tree[level]->GetBinIndex(p);
+ }//for all points in this batch
+ }
+ };
+
+ // A clever way to build offsets in parallel. Basically each thread builds
+ // offsets across a range of the sorted map. Recall that offsets are an
+ // integral value referring to the locations of the sorted points that
+ // reside in each bin.
+ template <typename T>
+ class MapOffsets
+ {
+ public:
+ BinTree<T> *Tree;
+ vtkIdType NumPts;
+ int NumBins;
+ int BatchSize;
+
+ MapOffsets(BinTree<T> *tree, int numBatches) : Tree(tree)
+ {
+ this->NumPts = this->Tree->NumPts;
+ this->NumBins = this->Tree->NumBins;
+ this->BatchSize = ceil( static_cast<double>(this->NumPts) / numBatches);
+ }
+
+ // Traverse sorted points (i.e., tuples) and update bin offsets.
+ void operator()(vtkIdType batch, vtkIdType batchEnd)
+ {
+ T *offsets = this->Tree->Offsets;
+ const BinTuple<T> *curPt =
+ this->Tree->Map + batch*this->BatchSize;
+ const BinTuple<T> *endBatchPt =
+ this->Tree->Map + batchEnd*this->BatchSize;
+ const BinTuple<T> *endPt =
+ this->Tree->Map + this->NumPts;
+ const BinTuple<T> *prevPt;
+ endBatchPt = ( endBatchPt > endPt ? endPt : endBatchPt );
+
+ // Special case at the very beginning of the mapped points array. If
+ // the first point is in bin# N, then all bins up and including
+ // N must refer to the first point.
+ if ( curPt == this->Tree->Map )
+ {
+ prevPt = this->Tree->Map;
+ std::fill_n(offsets, curPt->Bin+1, 0); //point to the first points
+ }//at the very beginning of the map (sorted points array)
+
+ // We are entering this functor somewhere in the interior of the
+ // mapped points array. All we need to do is point to the entry
+ // position because we are interested only in prevPt->Bin.
+ else
+ {
+ prevPt = curPt;
+ }//else in the middle of a batch
+
+ // Okay we have a starting point for a bin run. Now we can begin
+ // filling in the offsets in this batch. A previous thread should
+ // have/will have completed the previous and subsequent runs outside
+ // of the [batch,batchEnd) range
+ for ( curPt=prevPt; curPt < endBatchPt; )
+ {
+ for ( ; curPt->Bin == prevPt->Bin && curPt <= endBatchPt;
+ ++curPt )
+ {
+ ; //advance
+ }
+ // Fill in any gaps in the offset array
+ std::fill_n(offsets + prevPt->Bin + 1,
+ curPt->Bin - prevPt->Bin,
+ curPt - this->Tree->Map);
+ prevPt = curPt;
+ }//for all batches in this range
+ }//operator()
+ };
+
+ //----------------------------------------------------------------------------
+ // Copy points to output
+ template <typename T, typename TPts>
+ struct ShufflePoints
+ {
+ BinTree<T> *Tree;
+ vtkIdType NumPts;
+ TPts *InPoints;
+ TPts *OutPoints;
+
+ ShufflePoints(BinTree<T> *tree, vtkIdType numPts, TPts *inPts, TPts *outPts) :
+ Tree(tree), NumPts(numPts), InPoints(inPts), OutPoints(outPts)
+ {
+ }
+
+ void operator() (vtkIdType ptId, vtkIdType endPtId)
+ {
+ BinTuple<TIds> *map = this->Tree->Map + ptId;
+ TPts *py = this->OutPoints + 3*ptId;
+ TPts *px;
+
+ for ( ; ptId < endPtId; ++ptId, ++map)
+ {
+ px = this->InPoints + 3*map->PtId;
+ *py++ = *px++;
+ *py++ = *px++;
+ *py++ = *px;
+ }
+ }
+ }; //ShufflePoints
+
+ //----------------------------------------------------------------------------
+ // Copy data arrays to output
+ template <typename T, typename TA>
+ struct ShuffleArray
+ {
+ BinTree<T> *Tree;
+ vtkIdType NumPts;
+ int NumComp;
+ TA *InArray;
+ TA *OutArray;
+
+ ShuffleArray(BinTree<T> *tree, vtkIdType numPts, int numComp, TA *in, TA *out) :
+ Tree(tree), NumPts(numPts), NumComp(numComp), InArray(in), OutArray(out)
+ {
+ }
+
+ void operator() (vtkIdType ptId, vtkIdType endPtId)
+ {
+ BinTuple<TIds> *map = this->Tree->Map + ptId;
+ TA *y = this->OutArray + this->NumComp*ptId;
+ TA *x;
+ int i;
+
+ for ( ; ptId < endPtId; ++ptId, ++map)
+ {
+ x = this->InArray + this->NumComp*map->PtId;
+ for (i=0; i<this->NumComp; ++i)
+ {
+ *y++ = *x++;
+ }
+ }
+ }
+
+ static void Execute(BinTree<TIds> *tree, vtkIdType numPts, int numComp,
+ TA *in, TA *out)
+ {
+ ShuffleArray<TIds,TA> shuffle(tree,numPts,numComp,in,out);
+ vtkSMPTools::For(0,numPts, shuffle);
+ }
+
+ }; //ShuffleArray
+
+ // Bin the points, produce output
+ void Execute(vtkPointSet *input, vtkPolyData *output)
+ {
+ vtkPoints *inPts = input->GetPoints();
+ void *pts = inPts->GetVoidPointer(0);
+ vtkPoints *outPts = output->GetPoints();
+ int dataType = inPts->GetDataType();
+
+ if ( dataType == VTK_FLOAT )
+ {
+ MapPoints<TIds,float> mapper(this,static_cast<float*>(pts));
+ vtkSMPTools::For(0,this->NumPts, mapper);
+ }
+ else if ( dataType == VTK_DOUBLE )
+ {
+ MapPoints<TIds,double> mapper(this,static_cast<double*>(pts));
+ vtkSMPTools::For(0,this->NumPts, mapper);
+ }
+ else
+ {
+ vtkGenericWarningMacro("Type not supported\n");
+ return;
+ }
+
+ // Now gather the points into contiguous runs in bins
+ //
+ vtkSMPTools::Sort(this->Map, this->Map + this->NumPts);
+
+ // Build the offsets into the Map. The offsets are the positions of
+ // each bin into the sorted list. They mark the beginning of the
+ // list of points in each bin. Amazingly, this can be done in
+ // parallel.
+ //
+ int numBatches = static_cast<int>(
+ ceil(static_cast<double>(this->NumPts) / (5*this->NumBins)));
+ MapOffsets<TIds> offMapper(this,numBatches);
+ vtkSMPTools::For(0,numBatches, offMapper);
+
+ // Put the offset into the output for downstream filters
+ this->ExportMetaData(output);
+
+ // Shuffle the points around
+ if ( dataType == VTK_FLOAT )
+ {
+ ShufflePoints<TIds,float>
+ shuffle(this, this->NumPts, static_cast<float*>(inPts->GetVoidPointer(0)),
+ static_cast<float*>(outPts->GetVoidPointer(0)));
+ vtkSMPTools::For(0,this->NumPts, shuffle);
+ }
+ else if ( dataType == VTK_DOUBLE )
+ {
+ ShufflePoints<TIds,double>
+ shuffle(this, this->NumPts, static_cast<double*>(inPts->GetVoidPointer(0)),
+ static_cast<double*>(outPts->GetVoidPointer(0)));
+ vtkSMPTools::For(0,this->NumPts, shuffle);
+ }
+
+ // Now shuffle the data arrays
+ vtkPointData *inPD = input->GetPointData();
+ vtkPointData *outPD = output->GetPointData();
+ outPD->CopyAllocate(inPD,this->NumPts);
+
+ char *name;
+ vtkDataArray *iArray, *oArray;
+ void *iD, *oD;
+ int i, numComp, numArrays = inPD->GetNumberOfArrays();
+ for (i=0; i < numArrays; ++i)
+ {
+ iArray = inPD->GetArray(i);
+ if ( iArray )
+ {
+ name = iArray->GetName();
+ numComp = iArray->GetNumberOfComponents();
+ oArray = outPD->GetArray(name);
+ if ( !oArray )
+ {
+ continue;
+ }
+ oArray->SetNumberOfTuples(this->NumPts);
+ iD = iArray->GetVoidPointer(0);
+ oD = oArray->GetVoidPointer(0);
+ switch (iArray->GetDataType()) //template macro burps on multiple template parameters
+ {
+ case VTK_FLOAT:
+ ShuffleArray<TIds,float>::
+ Execute(this,this->NumPts,numComp,(float *)iD,(float *)oD); break;
+ case VTK_DOUBLE:
+ ShuffleArray<TIds,double>::
+ Execute(this,this->NumPts,numComp,(double *)iD,(double *)oD); break;
+ case VTK_INT:
+ ShuffleArray<TIds,int>::
+ Execute(this,this->NumPts,numComp,(int *)iD,(int *)oD); break;
+ case VTK_UNSIGNED_INT:
+ ShuffleArray<TIds,unsigned int>::
+ Execute(this,this->NumPts,numComp,(unsigned int *)iD,(unsigned int *)oD); break;
+ case VTK_CHAR:
+ ShuffleArray<TIds,char>::
+ Execute(this,this->NumPts,numComp,(char *)iD,(char *)oD); break;
+ case VTK_UNSIGNED_CHAR:
+ ShuffleArray<TIds,unsigned char>::
+ Execute(this,this->NumPts,numComp,(unsigned char *)iD,(unsigned char *)oD); break;
+ case VTK_SHORT:
+ ShuffleArray<TIds,short>::
+ Execute(this,this->NumPts,numComp,(short *)iD,(short *)oD); break;
+ case VTK_UNSIGNED_SHORT:
+ ShuffleArray<TIds,unsigned short>::
+ Execute(this,this->NumPts,numComp,(unsigned short *)iD,(unsigned short *)oD); break;
+ default:
+ vtkGenericWarningMacro("Unsupported attribute type");
+ }//over all VTK types
+ }//have valid array
+ }//for each candidate array
+ }
+
+ virtual vtkIdType GetLevelOffset(int level, vtkIdType& npts)
+ {
+ vtkIdType offset = this->Offsets[this->Tree[level]->LevelOffset];
+ vtkIdType offset2 = this->Offsets[this->Tree[level+1]->LevelOffset];
+
+ npts = offset2 - offset;
+ return offset;
+ }
+
+ virtual vtkIdType GetBinOffset(int globalBin, vtkIdType& npts)
+ {
+ vtkIdType offset = this->Offsets[globalBin];
+ vtkIdType offset2 = this->Offsets[globalBin+1];
+
+ npts = offset2 - offset;
+ return offset;
+ }
+
+ virtual vtkIdType GetLocalBinOffset(int level, int localBin, vtkIdType& npts)
+ {
+ vtkIdType offset = this->Offsets[this->Tree[level]->LevelOffset] + localBin;
+ vtkIdType offset2 = this->Offsets[this->Tree[level]->LevelOffset] + localBin + 1;
+
+ npts = offset2 - offset;
+ return offset;
+ }
+
+}; //BinTree
+
+
+} //anonymous namespace
+
+
+//================= Begin VTK class proper =======================================
+//----------------------------------------------------------------------------
+vtkHierarchicalBinningFilter::vtkHierarchicalBinningFilter()
+{
+
+ this->NumberOfLevels = 3;
+ this->Automatic = true;
+
+ this->Divisions[0] = this->Divisions[1] = this->Divisions[2] = 2;
+ this->Bounds[0] = this->Bounds[2] = this->Bounds[4] = 0.0;
+ this->Bounds[1] = this->Bounds[3] = this->Bounds[5] = 1.0;
+
+ this->Tree = NULL;
+}
+
+//----------------------------------------------------------------------------
+vtkHierarchicalBinningFilter::~vtkHierarchicalBinningFilter()
+{
+ if ( this->Tree )
+ {
+ delete this->Tree;
+ this->Tree = NULL;
+ }
+}
+
+//----------------------------------------------------------------------------
+// Produce the output data
+int vtkHierarchicalBinningFilter::RequestData(
+ vtkInformation *vtkNotUsed(request),
+ vtkInformationVector **inputVector,
+ vtkInformationVector *outputVector)
+{
+ // get the info objects
+ vtkInformation *inInfo = inputVector[0]->GetInformationObject(0);
+ vtkInformation *outInfo = outputVector->GetInformationObject(0);
+
+ // get the input and output
+ vtkPointSet *input = vtkPointSet::SafeDownCast(
+ inInfo->Get(vtkDataObject::DATA_OBJECT()));
+ vtkPolyData *output = vtkPolyData::SafeDownCast(
+ outInfo->Get(vtkDataObject::DATA_OBJECT()));
+
+ // Check the input
+ if ( !input || !output )
+ {
+ return 1;
+ }
+ vtkIdType numPts = input->GetNumberOfPoints();
+ if ( numPts < 1 )
+ {
+ return 1;
+ }
+
+ // Set up the binning operation
+ vtkPoints *inPts = input->GetPoints();
+ int dataType = inPts->GetDataType();
+ vtkPoints *outPts = inPts->NewInstance();
+ outPts->SetDataType(dataType);
+ outPts->SetNumberOfPoints(numPts);
+ output->SetPoints(outPts);
+ outPts->UnRegister(this);
+
+ int numLevels = this->NumberOfLevels;
+ int *divs = this->Divisions;
+ double *bounds = this->Bounds;
+
+ // If automatic, try and create uniform-sized bins; cubes are ideal.
+ if ( this->Automatic )
+ {
+ inPts->GetBounds(this->Bounds);
+ double h[3];
+ h[0] = this->Bounds[1] - this->Bounds[0];
+ h[1] = this->Bounds[3] - this->Bounds[2];
+ h[2] = this->Bounds[5] - this->Bounds[4];
+ int min = (h[0] < h[1] ? (h[0] < h[2] ? 0 : 2) : (h[1] < h[2] ? 1 : 2));
+ divs[min] = ( h[min] > 0.0 ? 2 : 1);
+ h[min] = ( divs[min] == 1 ? 1.0 : h[min] );
+ for (int i=0; i<3; ++i)
+ {
+ if ( i != min )
+ {
+ divs[i] = vtkMath::Round( divs[min]*h[i]/h[min] ) ;
+ divs[i] = ( divs[i] <= 0 ? 1 : divs[i] );
+ }
+ }
+ }
+
+ // Bin the points, produce output
+ if ( numPts >= VTK_INT_MAX )
+ {
+ this->Tree = new BinTree<vtkIdType>(numPts,inPts,numLevels,divs,bounds,VTK_ID_TYPE);
+ this->Tree->Execute(input,output);
+ }
+ else
+ {
+ this->Tree = new BinTree<int>(numPts,inPts,numLevels,divs,bounds,VTK_INT);
+ this->Tree->Execute(input,output);
+ }
+
+ return 1;
+}
+
+//----------------------------------------------------------------------------
+int vtkHierarchicalBinningFilter::
+GetNumberOfGlobalBins()
+{
+ if ( this->Tree )
+ {
+ return this->Tree->GetNumberOfGlobalBins();
+ }
+ else
+ {
+ return 0;
+ }
+}
+
+//----------------------------------------------------------------------------
+int vtkHierarchicalBinningFilter::
+GetNumberOfBins(int level)
+{
+ if ( this->Tree )
+ {
+ return this->Tree->GetNumberOfBins(level);
+ }
+ else
+ {
+ return 0;
+ }
+}
+
+//----------------------------------------------------------------------------
+vtkIdType vtkHierarchicalBinningFilter::
+GetLevelOffset(int level, vtkIdType& npts)
+{
+ if ( this->Tree )
+ {
+ return this->Tree->GetLevelOffset(level,npts);
+ }
+ else
+ {
+ return -1;
+ }
+}
+
+//----------------------------------------------------------------------------
+vtkIdType vtkHierarchicalBinningFilter::
+GetBinOffset(int globalBin, vtkIdType& npts)
+{
+ if ( this->Tree )
+ {
+ return this->Tree->GetBinOffset(globalBin,npts);
+ }
+ else
+ {
+ return -1;
+ }
+}
+
+//----------------------------------------------------------------------------
+vtkIdType vtkHierarchicalBinningFilter::
+GetLocalBinOffset(int level, int localBin, vtkIdType& npts)
+{
+ if ( this->Tree )
+ {
+ return this->Tree->GetLocalBinOffset(level,localBin,npts);
+ }
+ else
+ {
+ return -1;
+ }
+}
+
+//----------------------------------------------------------------------------
+void vtkHierarchicalBinningFilter::
+GetBinBounds(int globalBin, double bounds[6])
+{
+ if ( this->Tree )
+ {
+ return this->Tree->GetBinBounds(globalBin,bounds);
+ }
+ else
+ {
+ return;
+ }
+}
+
+//----------------------------------------------------------------------------
+void vtkHierarchicalBinningFilter::
+GetLocalBinBounds(int level, int localBin, double bounds[6])
+{
+ if ( this->Tree )
+ {
+ return this->Tree->GetLocalBinBounds(level,localBin,bounds);
+ }
+ else
+ {
+ return;
+ }
+}
+
+//----------------------------------------------------------------------------
+int vtkHierarchicalBinningFilter::
+FillInputPortInformation(int, vtkInformation *info)
+{
+ info->Set(vtkAlgorithm::INPUT_REQUIRED_DATA_TYPE(), "vtkPointSet");
+ return 1;
+}
+
+//----------------------------------------------------------------------------
+void vtkHierarchicalBinningFilter::PrintSelf(ostream& os, vtkIndent indent)
+{
+ this->Superclass::PrintSelf(os,indent);
+
+ os << indent << "Number of Levels: "
+ << this->NumberOfLevels << endl;
+
+ os << indent << "Automatic: "
+ << (this->Automatic ? "On\n" : "Off\n");
+
+ for(int i=0;i<6;i++)
+ {
+ os << indent << "Bounds[" << i << "]: " << this->Bounds[i] << "\n";
+ }
+
+ os << indent << "Divisions: ("
+ << this->Divisions[0] << ","
+ << this->Divisions[1] << ","
+ << this->Divisions[2] << ")\n";
+}
diff --git a/Filters/Points/vtkHierarchicalBinningFilter.h b/Filters/Points/vtkHierarchicalBinningFilter.h
new file mode 100644
index 00000000000..fde84fa6446
--- /dev/null
+++ b/Filters/Points/vtkHierarchicalBinningFilter.h
@@ -0,0 +1,189 @@
+/*=========================================================================
+
+ Program: Visualization Toolkit
+ Module: vtkHierarchicalBinningFilter.h
+
+ Copyright (c) Kitware, Inc.
+ All rights reserved.
+ See LICENSE file for details.
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE. See the above copyright notice for more information.
+
+=========================================================================*/
+// .NAME vtkHierarchicalBinningFilter - uniform binning of points into
+// a hierarchical structure
+
+// .SECTION Description
+// vtkHierarchicalBinningFilter creates a spatial, hierarchical ordering of
+// input points. This hierarchy is suitable for level-of-detail rendering, or
+// multiresolution processing. Each level of the hierarchy is based on
+// uniform binning of space, where deeper levels (and its bins) are
+// repeatedly subdivided by a given branching factor. Points are associated
+// with bins at different levels, with the number of points in each level
+// proportional to the number of bins in that level. The output points are
+// sorted according to a bin number, where the bin number is unique,
+// monotonically increasing number representing the breadth first ordering of
+// all of the levels and their bins. Thus all points in a bin (or even a level)
+// are segmented into contiguous runs.
+//
+// Note that points are associated with different bins using a pseudo random
+// process. No points are repeated, and no new points are created, thus the
+// effect of executing this filter is simply to reorder the input points.
+//
+// The algorithm proceeds as follows: Given an initial bounding box, the
+// space is uniformally subdivided into bins of (M x N x O) dimensions; in
+// turn each subsequent level in the tree is further divided into (M x N x O)
+// bins (note that level 0 is a single, root bin). Thus the number of bins at
+// level L of the hierachical tree is: Nbins=(M^L x N^L x O^L). Once the
+// binning is created to a specified depth, then points are placed in the
+// bins using a pseudo-random sampling proportional to the number of bins in each
+// level. All input points are sorted in the order described above, with no
+// points repeated.
+//
+// The output of this filter are sorted points and associated point
+// attributes represented by a vtkPolyData. In addition, an offest integral
+// array is associated with the field data of the output, providing offsets
+// into the points list via a breadth-first traversal order. Metadata
+// describing the output is provided in the field data. Convenience functions
+// are also provided here to access the data in a particular bin or across a
+// level. (Using the offset array directly may result in higher performance.)
+//
+// While any vtkPointSet type can be provided as input, the output is
+// represented by an explicit representation of points via a
+// vtkPolyData. This output polydata will populate its instance of vtkPoints,
+// but no cells will be defined (i.e., no vtkVertex or vtkPolyVertex are
+// contained in the output).
+
+// .SECTION Caveats
+// This class has been threaded with vtkSMPTools. Using TBB or other
+// non-sequential type (set in the CMake variable
+// VTK_SMP_IMPLEMENTATION_TYPE) may improve performance significantly.
+
+// .SECTION See Also
+// vtkPointCloudFilter vtkQuadricClustering vtkStaticPointLocator
+
+#ifndef vtkHierarchicalBinningFilter_h
+#define vtkHierarchicalBinningFilter_h
+
+#include "vtkFiltersPointsModule.h" // For export macro
+#include "vtkPolyDataAlgorithm.h"
+
+#define VTK_MAX_LEVEL 12
+
+struct vtkBinTree;
+
+class VTKFILTERSPOINTS_EXPORT vtkHierarchicalBinningFilter : public vtkPolyDataAlgorithm
+{
+public:
+ // Description:
+ // Standard methods for instantiating, obtaining type information, and
+ // printing information.
+ static vtkHierarchicalBinningFilter *New();
+ vtkTypeMacro(vtkHierarchicalBinningFilter,vtkPolyDataAlgorithm);
+ void PrintSelf(ostream& os, vtkIndent indent);
+
+ // Description:
+ // Specify the number of levels in the spatial hierachy. By default, the
+ // number of levels is three.
+ vtkSetClampMacro(NumberOfLevels,int,1,VTK_MAX_LEVEL);
+ vtkGetMacro(NumberOfLevels,int);
+
+ // Description:
+ // Specify whether to determine the determine the level divisions, and the bounding
+ // box automatically (by default this is on). If off, then the user must specify both
+ // the bounding box and bin divisions. (Computing the bounding box can be slow for
+ // large point clouds, manual specification can save time.)
+ vtkSetMacro(Automatic,bool);
+ vtkGetMacro(Automatic,bool);
+ vtkBooleanMacro(Automatic,bool);
+
+ // Description:
+ // Set the number of branching divisions in each binning direction. Each
+ // level of the tree is subdivided by this factor. The Divisions[i] must be
+ // >= 1. Note: if Automatic subdivision is specified, the the Divisions are
+ // set by the filter.
+ vtkSetVector3Macro(Divisions,int);
+ vtkGetVectorMacro(Divisions,int,3);
+
+ // Description:
+ // Set the bounding box of the point cloud. If Automatic is enabled, then
+ // this is computed during filter execution. If manually specified
+ // (Automatic is off) then make sure the bounds is represented as
+ // (xmin,xmax, ymin,ymax, zmin,zmax). If the bounds specified is does not
+ // enclose the points, then points are clamped to lie in the bounding box.
+ vtkSetVector6Macro(Bounds,double);
+ vtkGetVectorMacro(Bounds,double,6);
+
+ // Description:
+ // Convenience methods for extracting useful information about this bin
+ // tree. Return the number of total bins across all levels (i.e., the
+ // total global bins). Invoke this method after the bin tree has been
+ // built.
+ int GetNumberOfGlobalBins();
+
+ // Description:
+ // Convenience methods for extracting useful information about this bin
+ // tree. Return the number of bins in a particular level of the
+ // tree. Invoke this method after the bin tree has been built.
+ int GetNumberOfBins(int level);
+
+ // Description:
+ // Convenience methods for extracting useful information about this bin
+ // tree. Given a level, return the beginning point id and number of points
+ // that level. Invoke this method after the bin tree has been built.
+ vtkIdType GetLevelOffset(int level, vtkIdType& npts);
+
+ // Description:
+ // Convenience methods for extracting useful information about this bin
+ // tree. Given a global bin number, return the point id and number of
+ // points for that bin. Invoke this method after the bin tree has been
+ // built.
+ vtkIdType GetBinOffset(int globalBin, vtkIdType& npts);
+
+ // Description:
+ // Convenience methods for extracting useful information about this bin
+ // tree. Given a level, and the bin number in that level, return the
+ // offset point id and number of points for that bin. Invoke this method
+ // after the bin tree has been built.
+ vtkIdType GetLocalBinOffset(int level, int localBin, vtkIdType& npts);
+
+ // Description:
+ // Convenience methods for extracting useful information about a bin tree.
+ // Given a global bin number, return the bounds (xmin,xmax,ymin,ymax,zmin,zmax)
+ // for that bin. Invoke this method after the bin tree has been built.
+ void GetBinBounds(int globalBin, double bounds[6]);
+
+ // Description:
+ // Convenience methods for extracting useful information about a bin tree.
+ // Given a level, and a local bin number, return the bounds
+ // (xmin,xmax,ymin,ymax,zmin,zmax) for that bin. Invoke this method after
+ // the bin tree has been built.
+ void GetLocalBinBounds(int level, int localBin, double bounds[6]);
+
+protected:
+ vtkHierarchicalBinningFilter();
+ ~vtkHierarchicalBinningFilter();
+
+ // IVars
+ int NumberOfLevels;
+ bool Automatic;
+ int Divisions[3];
+ double Bounds[6];
+
+ // Handle to the underlying implementation. The representation is maintained so
+ // that the convenience functions can be invoked on the bin tree.
+ vtkBinTree *Tree;
+
+ virtual int RequestData(vtkInformation *, vtkInformationVector **,
+ vtkInformationVector *);
+ virtual int FillInputPortInformation(int port, vtkInformation *info);
+
+private:
+ vtkHierarchicalBinningFilter(const vtkHierarchicalBinningFilter&) VTK_DELETE_FUNCTION;
+ void operator=(const vtkHierarchicalBinningFilter&) VTK_DELETE_FUNCTION;
+
+};
+
+#endif
diff --git a/Filters/Points/vtkPCACurvatureEstimation.cxx b/Filters/Points/vtkPCACurvatureEstimation.cxx
new file mode 100644
index 00000000000..1d23334e3a8
--- /dev/null
+++ b/Filters/Points/vtkPCACurvatureEstimation.cxx
@@ -0,0 +1,244 @@
+/*=========================================================================
+
+ Program: Visualization Toolkit
+ Module: vtkPCACurvatureEstimation.cxx
+
+ Copyright (c) Kitware, Inc.
+ All rights reserved.
+ See LICENSE file for details.
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE. See the above copyright notice for more information.
+
+=========================================================================*/
+#include "vtkPCACurvatureEstimation.h"
+
+#include "vtkObjectFactory.h"
+#include "vtkAbstractPointLocator.h"
+#include "vtkStaticPointLocator.h"
+#include "vtkPointSet.h"
+#include "vtkPoints.h"
+#include "vtkPointData.h"
+#include "vtkFloatArray.h"
+#include "vtkInformation.h"
+#include "vtkInformationVector.h"
+#include "vtkMath.h"
+#include "vtkSMPTools.h"
+#include "vtkSMPThreadLocalObject.h"
+
+vtkStandardNewMacro(vtkPCACurvatureEstimation);
+vtkCxxSetObjectMacro(vtkPCACurvatureEstimation,Locator,vtkAbstractPointLocator);
+
+
+namespace {
+
+//----------------------------------------------------------------------------
+// The threaded core of the algorithm.
+template <typename T>
+struct GenerateCurvature
+{
+ const T *Points;
+ vtkAbstractPointLocator *Locator;
+ int SampleSize;
+ float *Curvature;
+
+ // Don't want to allocate working arrays on every thread invocation. Thread local
+ // storage lots of new/delete.
+ vtkSMPThreadLocalObject<vtkIdList> PIds;
+
+ GenerateCurvature(T *points, vtkAbstractPointLocator *loc, int sample, float *curve) :
+ Points(points), Locator(loc), SampleSize(sample), Curvature(curve)
+ {
+ }
+
+ // Just allocate a little bit of memory to get started.
+ void Initialize()
+ {
+ vtkIdList*& pIds = this->PIds.Local();
+ pIds->Allocate(128); //allocate some memory
+ }
+
+ void operator() (vtkIdType ptId, vtkIdType endPtId)
+ {
+ const T *px = this->Points + 3*ptId;
+ const T *py;
+ float *c = this->Curvature + 3*ptId;
+ double x[3], mean[3], den;
+ vtkIdList*& pIds = this->PIds.Local();
+ vtkIdType numPts, nei;
+ int sample, i;
+ double *a[3], a0[3], a1[3], a2[3], xp[3];
+ a[0] = a0; a[1] = a1; a[2] = a2;
+ double *v[3], v0[3], v1[3], v2[3];
+ v[0] = v0; v[1] = v1; v[2] = v2;
+ double eVal[3];
+
+ for ( ; ptId < endPtId; ++ptId )
+ {
+ x[0] = static_cast<double>(*px++);
+ x[1] = static_cast<double>(*px++);
+ x[2] = static_cast<double>(*px++);
+
+ // Retrieve the local neighborhood
+ this->Locator->FindClosestNPoints(this->SampleSize, x, pIds);
+ numPts = pIds->GetNumberOfIds();
+
+ // First step: compute the mean position of the neighborhood.
+ mean[0] = mean[1] = mean[2] = 0.0;
+ for (sample=0; sample<numPts; ++sample)
+ {
+ nei = pIds->GetId(sample);
+ py = this->Points + 3*nei;
+ mean[0] += static_cast<double>(*py++);
+ mean[1] += static_cast<double>(*py++);
+ mean[2] += static_cast<double>(*py);
+ }
+ mean[0] /= static_cast<double>(numPts);
+ mean[1] /= static_cast<double>(numPts);
+ mean[2] /= static_cast<double>(numPts);
+
+ // Now compute the covariance matrix
+ a0[0] = a1[0] = a2[0] = 0.0;
+ a0[1] = a1[1] = a2[1] = 0.0;
+ a0[2] = a1[2] = a2[2] = 0.0;
+ for (sample=0; sample < numPts; ++sample )
+ {
+ nei = pIds->GetId(sample);
+ py = this->Points + 3*nei;
+ xp[0] = static_cast<double>(*py++) - mean[0];
+ xp[1] = static_cast<double>(*py++) - mean[1];
+ xp[2] = static_cast<double>(*py) - mean[2];
+ for (i=0; i < 3; i++)
+ {
+ a0[i] += xp[0] * xp[i];
+ a1[i] += xp[1] * xp[i];
+ a2[i] += xp[2] * xp[i];
+ }
+ }
+ for (i=0; i < 3; i++)
+ {
+ a0[i] /= static_cast<double>(numPts);
+ a1[i] /= static_cast<double>(numPts);
+ a2[i] /= static_cast<double>(numPts);
+ }
+
+ // Next extract the eigenvectors and values
+ vtkMath::Jacobi(a,eVal,v);
+
+ // Finally compute the curvatures
+ den = eVal[0] + eVal[1] + eVal[2];
+ *c++ = (eVal[0] - eVal[1]) / den;
+ *c++ = 2.0*(eVal[1] - eVal[2]) / den;
+ *c++ = 3.0*eVal[2] / den;
+
+ }//for all points
+ }
+
+ void Reduce()
+ {
+ }
+
+ static void Execute(vtkPCACurvatureEstimation *self, vtkIdType numPts, T *points,
+ float *curvature)
+ {
+ GenerateCurvature gen(points, self->GetLocator(), self->GetSampleSize(),
+ curvature);
+ vtkSMPTools::For(0, numPts, gen);
+ }
+}; //GenerateCurvature
+
+} //anonymous namespace
+
+
+//================= Begin VTK class proper =======================================
+//----------------------------------------------------------------------------
+vtkPCACurvatureEstimation::vtkPCACurvatureEstimation()
+{
+
+ this->SampleSize = 25;
+ this->Locator = vtkStaticPointLocator::New();
+}
+
+//----------------------------------------------------------------------------
+vtkPCACurvatureEstimation::~vtkPCACurvatureEstimation()
+{
+ this->SetLocator(NULL);
+}
+
+//----------------------------------------------------------------------------
+// Produce the output data
+int vtkPCACurvatureEstimation::RequestData(
+ vtkInformation *vtkNotUsed(request),
+ vtkInformationVector **inputVector,
+ vtkInformationVector *outputVector)
+{
+ // get the info objects
+ vtkInformation *inInfo = inputVector[0]->GetInformationObject(0);
+ vtkInformation *outInfo = outputVector->GetInformationObject(0);
+
+ // get the input and output
+ vtkPointSet *input = vtkPointSet::SafeDownCast(
+ inInfo->Get(vtkDataObject::DATA_OBJECT()));
+ vtkPolyData *output = vtkPolyData::SafeDownCast(
+ outInfo->Get(vtkDataObject::DATA_OBJECT()));
+
+ // Check the input
+ if ( !input || !output )
+ {
+ return 1;
+ }
+ vtkIdType numPts = input->GetNumberOfPoints();
+ if ( numPts < 1 )
+ {
+ return 1;
+ }
+
+ // Start by building the locator.
+ if ( !this->Locator )
+ {
+ vtkErrorMacro(<<"Point locator required\n");
+ return 0;
+ }
+ this->Locator->SetDataSet(input);
+ this->Locator->BuildLocator();
+
+ // Generate the point curvature.
+ vtkFloatArray *curvature = vtkFloatArray::New();
+ curvature->SetNumberOfComponents(3);
+ curvature->SetNumberOfTuples(numPts);
+ curvature->SetName("PCACurvature");
+ float *c = static_cast<float*>(curvature->GetVoidPointer(0));
+
+ void *inPtr = input->GetPoints()->GetVoidPointer(0);
+ switch (input->GetPoints()->GetDataType())
+ {
+ vtkTemplateMacro(GenerateCurvature<VTK_TT>::
+ Execute(this, numPts, (VTK_TT *)inPtr, c));
+ }
+
+ // Now send the curvatures to the output and clean up
+ output->SetPoints(input->GetPoints());
+ output->GetPointData()->PassData(input->GetPointData());
+ output->GetPointData()->AddArray(curvature);
+ curvature->Delete();
+
+ return 1;
+}
+
+//----------------------------------------------------------------------------
+int vtkPCACurvatureEstimation::
+FillInputPortInformation(int, vtkInformation *info)
+{
+ info->Set(vtkAlgorithm::INPUT_REQUIRED_DATA_TYPE(), "vtkPointSet");
+ return 1;
+}
+
+//----------------------------------------------------------------------------
+void vtkPCACurvatureEstimation::PrintSelf(ostream& os, vtkIndent indent)
+{
+ this->Superclass::PrintSelf(os,indent);
+
+ os << indent << "Sample Size: " << this->SampleSize << "\n";
+
+}
diff --git a/Filters/Points/vtkPCACurvatureEstimation.h b/Filters/Points/vtkPCACurvatureEstimation.h
new file mode 100644
index 00000000000..beda00a77d3
--- /dev/null
+++ b/Filters/Points/vtkPCACurvatureEstimation.h
@@ -0,0 +1,100 @@
+/*=========================================================================
+
+ Program: Visualization Toolkit
+ Module: vtkPCACurvatureEstimation.h
+
+ Copyright (c) Kitware, Inc.
+ All rights reserved.
+ See LICENSE file for details.
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE. See the above copyright notice for more information.
+
+=========================================================================*/
+// .NAME vtkPCACurvatureEstimation - generate curvature estimates using
+// principal component analysis
+
+// .SECTION Description
+// vtkPCACurvatureEstimation generates point normals using PCA (principal
+// component analysis). Basically this estimates a local tangent plane
+// around sample point p by considering a small neighborhood of points
+// around p, and fitting a plane to the neighborhood (via PCA). A good
+// introductory reference is Hoppe's "Surface reconstruction from
+// unorganized points."
+//
+// To use this filter, sepcify a neighborhood size. This may have to be set
+// via experimentation. Optionally a point locator can be specified (instead
+// of the default locator), which is used to accelerate searches around a
+// sample point. Finally, the user should specify how to generate
+// consistently-oriented normals. As computed by PCA, normals may point in
+// +/- orientation, which may not be consistent with neighboring normals.
+//
+// The output of this filter is the same as the input except that a normal
+// per point is produced. (Note that these are unit normals.) While any
+// vtkPointSet type can be provided as input, the output is represented by an
+// explicit representation of points via a vtkPolyData. This output polydata
+// will populate its instance of vtkPoints, but no cells will be defined
+// (i.e., no vtkVertex or vtkPolyVertex are contained in the output).
+
+// .SECTION Caveats
+// This class has been threaded with vtkSMPTools. Using TBB or other
+// non-sequential type (set in the CMake variable
+// VTK_SMP_IMPLEMENTATION_TYPE) may improve performance significantly.
+
+// .SECTION See Also
+// vtkPCANormalEstimation
+
+#ifndef vtkPCACurvatureEstimation_h
+#define vtkPCACurvatureEstimation_h
+
+#include "vtkFiltersPointsModule.h" // For export macro
+#include "vtkPolyDataAlgorithm.h"
+
+class vtkAbstractPointLocator;
+
+
+class VTKFILTERSPOINTS_EXPORT vtkPCACurvatureEstimation : public vtkPolyDataAlgorithm
+{
+public:
+ // Description:
+ // Standard methods for instantiating, obtaining type information, and
+ // printing information.
+ static vtkPCACurvatureEstimation *New();
+ vtkTypeMacro(vtkPCACurvatureEstimation,vtkPolyDataAlgorithm);
+ void PrintSelf(ostream& os, vtkIndent indent);
+
+ // Description:
+ // For each sampled point, specify the number of the closest, surrounding
+ // points used to estimate the normal (the so called k-neighborhood). By
+ // default 25 points are used. Smaller numbers may speed performance at the
+ // cost of accuracy.
+ vtkSetClampMacro(SampleSize,int,1,VTK_INT_MAX);
+ vtkGetMacro(SampleSize,int);
+
+ // Description:
+ // Specify a point locator. By default a vtkStaticPointLocator is
+ // used. The locator performs efficient searches to locate points
+ // around a sample point.
+ void SetLocator(vtkAbstractPointLocator *locator);
+ vtkGetObjectMacro(Locator,vtkAbstractPointLocator);
+
+protected:
+ vtkPCACurvatureEstimation();
+ ~vtkPCACurvatureEstimation();
+
+ // IVars
+ int SampleSize;
+ vtkAbstractPointLocator *Locator;
+
+ virtual int RequestData(vtkInformation *, vtkInformationVector **,
+ vtkInformationVector *);
+ virtual int FillInputPortInformation(int port, vtkInformation *info);
+
+private:
+ vtkPCACurvatureEstimation(const vtkPCACurvatureEstimation&) VTK_DELETE_FUNCTION;
+ void operator=(const vtkPCACurvatureEstimation&) VTK_DELETE_FUNCTION;
+
+};
+
+#endif
diff --git a/Filters/Points/vtkPCANormalEstimation.cxx b/Filters/Points/vtkPCANormalEstimation.cxx
new file mode 100644
index 00000000000..1e9d68797a9
--- /dev/null
+++ b/Filters/Points/vtkPCANormalEstimation.cxx
@@ -0,0 +1,359 @@
+/*=========================================================================
+
+ Program: Visualization Toolkit
+ Module: vtkPCANormalEstimation.cxx
+
+ Copyright (c) Kitware, Inc.
+ All rights reserved.
+ See LICENSE file for details.
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE. See the above copyright notice for more information.
+
+=========================================================================*/
+#include "vtkPCANormalEstimation.h"
+
+#include "vtkObjectFactory.h"
+#include "vtkAbstractPointLocator.h"
+#include "vtkStaticPointLocator.h"
+#include "vtkPointSet.h"
+#include "vtkPoints.h"
+#include "vtkPointData.h"
+#include "vtkFloatArray.h"
+#include "vtkIdList.h"
+#include "vtkInformation.h"
+#include "vtkInformationVector.h"
+#include "vtkMath.h"
+#include "vtkSMPTools.h"
+#include "vtkSMPThreadLocalObject.h"
+
+vtkStandardNewMacro(vtkPCANormalEstimation);
+vtkCxxSetObjectMacro(vtkPCANormalEstimation,Locator,vtkAbstractPointLocator);
+
+
+namespace {
+
+//----------------------------------------------------------------------------
+// The threaded core of the algorithm.
+template <typename T>
+struct GenerateNormals
+{
+ const T *Points;
+ vtkAbstractPointLocator *Locator;
+ int SampleSize;
+ float *Normals;
+ int Orient;
+ double OPoint[3];
+ bool Flip;
+
+ // Don't want to allocate working arrays on every thread invocation. Thread local
+ // storage lots of new/delete.
+ vtkSMPThreadLocalObject<vtkIdList> PIds;
+
+ GenerateNormals(T *points, vtkAbstractPointLocator *loc, int sample, float *normals,
+ int orient, double opoint[3], bool flip) :
+ Points(points), Locator(loc), SampleSize(sample), Normals(normals),
+ Orient(orient), Flip(flip)
+ {
+ this->OPoint[0] = opoint[0];
+ this->OPoint[1] = opoint[1];
+ this->OPoint[2] = opoint[2];
+ }
+
+ // Just allocate a little bit of memory to get started.
+ void Initialize()
+ {
+ vtkIdList*& pIds = this->PIds.Local();
+ pIds->Allocate(128); //allocate some memory
+ }
+
+ void operator() (vtkIdType ptId, vtkIdType endPtId)
+ {
+ const T *px = this->Points + 3*ptId;
+ const T *py;
+ float *n = this->Normals + 3*ptId;
+ double x[3], mean[3], o[3];
+ vtkIdList*& pIds = this->PIds.Local();
+ vtkIdType numPts, nei;
+ int sample, i;
+ double *a[3], a0[3], a1[3], a2[3], xp[3];
+ a[0] = a0; a[1] = a1; a[2] = a2;
+ double *v[3], v0[3], v1[3], v2[3];
+ v[0] = v0; v[1] = v1; v[2] = v2;
+ double eVecMin[3], eVal[3];
+ float flipVal = (this->Flip ? -1.0 : 1.0);
+
+ for ( ; ptId < endPtId; ++ptId )
+ {
+ x[0] = static_cast<double>(*px++);
+ x[1] = static_cast<double>(*px++);
+ x[2] = static_cast<double>(*px++);
+
+ // Retrieve the local neighborhood
+ this->Locator->FindClosestNPoints(this->SampleSize, x, pIds);
+ numPts = pIds->GetNumberOfIds();
+
+ // First step: compute the mean position of the neighborhood.
+ mean[0] = mean[1] = mean[2] = 0.0;
+ for (sample=0; sample<numPts; ++sample)
+ {
+ nei = pIds->GetId(sample);
+ py = this->Points + 3*nei;
+ mean[0] += static_cast<double>(*py++);
+ mean[1] += static_cast<double>(*py++);
+ mean[2] += static_cast<double>(*py);
+ }
+ mean[0] /= static_cast<double>(numPts);
+ mean[1] /= static_cast<double>(numPts);
+ mean[2] /= static_cast<double>(numPts);
+
+ // Now compute the covariance matrix
+ a0[0] = a1[0] = a2[0] = 0.0;
+ a0[1] = a1[1] = a2[1] = 0.0;
+ a0[2] = a1[2] = a2[2] = 0.0;
+ for (sample=0; sample < numPts; ++sample )
+ {
+ nei = pIds->GetId(sample);
+ py = this->Points + 3*nei;
+ xp[0] = static_cast<double>(*py++) - mean[0];
+ xp[1] = static_cast<double>(*py++) - mean[1];
+ xp[2] = static_cast<double>(*py) - mean[2];
+ for (i=0; i < 3; i++)
+ {
+ a0[i] += xp[0] * xp[i];
+ a1[i] += xp[1] * xp[i];
+ a2[i] += xp[2] * xp[i];
+ }
+ }
+ for (i=0; i < 3; i++)
+ {
+ a0[i] /= static_cast<double>(numPts);
+ a1[i] /= static_cast<double>(numPts);
+ a2[i] /= static_cast<double>(numPts);
+ }
+
+ // Next extract the eigenvectors and values
+ vtkMath::Jacobi(a,eVal,v);
+ //eVecMax[0] = v[0][0]; eVecMax[1] = v[1][0]; eVecMax[2] = v[2][0];
+ //eVecMid[0] = v[0][1]; eVecMid[1] = v[1][1]; eVecMid[2] = v[2][1];
+ eVecMin[0] = v[0][2]; eVecMin[1] = v[1][2]; eVecMin[2] = v[2][2];
+
+ // Orient properly
+ if ( this->Orient == vtkPCANormalEstimation::POINT )
+ {
+ o[0] = this->OPoint[0] - x[0];
+ o[1] = this->OPoint[1] - x[1];
+ o[2] = this->OPoint[2] - x[2];
+ if ( vtkMath::Dot(o,eVecMin) < 0.0 )
+ {
+ eVecMin[0] *= -1;
+ eVecMin[1] *= -1;
+ eVecMin[2] *= -1;
+ }
+ }
+
+ // Finally compute the point normal (which is the smallest eigenvector)
+ *n++ = flipVal * eVecMin[0];
+ *n++ = flipVal * eVecMin[1];
+ *n++ = flipVal * eVecMin[2];
+
+ }//for all points
+ }
+
+ void Reduce()
+ {
+ }
+
+ static void Execute(vtkPCANormalEstimation *self, vtkIdType numPts, T *points,
+ float *normals, int orient, double opoint[3], bool flip)
+ {
+ GenerateNormals gen(points, self->GetLocator(), self->GetSampleSize(),
+ normals, orient, opoint, flip);
+ vtkSMPTools::For(0, numPts, gen);
+ }
+}; //GenerateNormals
+
+} //anonymous namespace
+
+
+//================= Begin VTK class proper =======================================
+//----------------------------------------------------------------------------
+vtkPCANormalEstimation::vtkPCANormalEstimation()
+{
+
+ this->SampleSize = 25;
+ this->Locator = vtkStaticPointLocator::New();
+ this->NormalOrientation = vtkPCANormalEstimation::POINT;
+ this->OrientationPoint[0] = this->OrientationPoint[1] =
+ this->OrientationPoint[2] = 0.0;
+ this->FlipNormals = false;
+
+}
+
+//----------------------------------------------------------------------------
+vtkPCANormalEstimation::~vtkPCANormalEstimation()
+{
+ this->SetLocator(NULL);
+}
+
+//----------------------------------------------------------------------------
+// Produce the output data
+int vtkPCANormalEstimation::RequestData(
+ vtkInformation *vtkNotUsed(request),
+ vtkInformationVector **inputVector,
+ vtkInformationVector *outputVector)
+{
+ // get the info objects
+ vtkInformation *inInfo = inputVector[0]->GetInformationObject(0);
+ vtkInformation *outInfo = outputVector->GetInformationObject(0);
+
+ // get the input and output
+ vtkPointSet *input = vtkPointSet::SafeDownCast(
+ inInfo->Get(vtkDataObject::DATA_OBJECT()));
+ vtkPolyData *output = vtkPolyData::SafeDownCast(
+ outInfo->Get(vtkDataObject::DATA_OBJECT()));
+
+ // Check the input
+ if ( !input || !output )
+ {
+ return 1;
+ }
+ vtkIdType numPts = input->GetNumberOfPoints();
+ if ( numPts < 1 )
+ {
+ return 1;
+ }
+
+ // Start by building the locator.
+ if ( !this->Locator )
+ {
+ vtkErrorMacro(<<"Point locator required\n");
+ return 0;
+ }
+ this->Locator->SetDataSet(input);
+ this->Locator->BuildLocator();
+
+ // Generate the point normals.
+ vtkFloatArray *normals = vtkFloatArray::New();
+ normals->SetNumberOfComponents(3);
+ normals->SetNumberOfTuples(numPts);
+ float *n = static_cast<float*>(normals->GetVoidPointer(0));
+
+ void *inPtr = input->GetPoints()->GetVoidPointer(0);
+ switch (input->GetPoints()->GetDataType())
+ {
+ vtkTemplateMacro(GenerateNormals<VTK_TT>::Execute(this, numPts, (VTK_TT *)inPtr, n,
+ this->NormalOrientation, this->OrientationPoint, this->FlipNormals));
+ }
+
+ // Orient the normals in a consistent fashion (if requested). This requires a traveral
+ // across the point cloud, traversing neighbors that are in close proximity.
+ if ( this->NormalOrientation == vtkPCANormalEstimation::GRAPH_TRAVERSAL )
+ {
+ vtkIdType ptId;
+ char *pointMap = new char [numPts];
+ std::fill_n(pointMap, numPts, static_cast<char>(0));
+ vtkIdList *wave = vtkIdList::New();
+ wave->Allocate(numPts/4+1,numPts);
+ vtkIdList *wave2 = vtkIdList::New();
+ wave2->Allocate(numPts/4+1,numPts);
+
+ for (ptId=0; ptId < numPts; ptId++)
+ {
+ if ( pointMap[ptId] == 0 )
+ {
+ wave->InsertNextId(ptId); //begin next connected wave
+ pointMap[ptId] = 1;
+ this->TraverseAndFlip (input->GetPoints(), n, pointMap, wave, wave2);
+ wave->Reset();
+ wave2->Reset();
+ }
+ }//for all points
+ delete [] pointMap;
+ wave->Delete();
+ wave2->Delete();
+ }//if graph traversal required
+
+ // Now send the normals to the output and clean up
+ output->SetPoints(input->GetPoints());
+ output->GetPointData()->PassData(input->GetPointData());
+ output->GetPointData()->SetNormals(normals);
+ normals->Delete();
+
+ return 1;
+}
+
+//----------------------------------------------------------------------------
+// Mark current point as visited and assign cluster number. Note:
+// traversal occurs across proximally located points.
+//
+void vtkPCANormalEstimation::
+TraverseAndFlip (vtkPoints *inPts, float *normals, char *pointMap,
+ vtkIdList *wave, vtkIdList *wave2)
+{
+ vtkIdType i, j, numPts, numIds, ptId;
+ vtkIdList *tmpWave;
+ double x[3];
+ float *n, *n2;
+ vtkIdList *neighborPointIds = vtkIdList::New();
+
+ while ( (numIds=wave->GetNumberOfIds()) > 0 )
+ {
+ for ( i=0; i < numIds; i++ ) //for all points in this wave
+ {
+ ptId = wave->GetId(i);
+ inPts->GetPoint(ptId,x);
+ n = normals + 3*ptId;
+ this->Locator->FindClosestNPoints(this->SampleSize,x,neighborPointIds);
+
+ numPts = neighborPointIds->GetNumberOfIds();
+ for (j=0; j < numPts; ++j)
+ {
+ ptId = neighborPointIds->GetId(j);
+ if ( pointMap[ptId] == 0 )
+ {
+ pointMap[ptId] = 1;
+ n2 = normals + 3*ptId;
+ if ( vtkMath::Dot(n,n2) < 0.0 )
+ {
+ *n2++ *= -1;
+ *n2++ *= -1;
+ *n2 *= -1;
+ }
+ wave2->InsertNextId(ptId);
+ }//if point not yet visited
+ }//for all neighbors
+ }//for all cells in this wave
+
+ tmpWave = wave;
+ wave = wave2;
+ wave2 = tmpWave;
+ tmpWave->Reset();
+ } //while wave is not empty
+
+ neighborPointIds->Delete();
+
+ return;
+}
+
+//----------------------------------------------------------------------------
+int vtkPCANormalEstimation::
+FillInputPortInformation(int, vtkInformation *info)
+{
+ info->Set(vtkAlgorithm::INPUT_REQUIRED_DATA_TYPE(), "vtkPointSet");
+ return 1;
+}
+
+//----------------------------------------------------------------------------
+void vtkPCANormalEstimation::PrintSelf(ostream& os, vtkIndent indent)
+{
+ this->Superclass::PrintSelf(os,indent);
+
+ os << indent << "Sample Size: " << this->SampleSize << "\n";
+ os << indent << "Normal Orientation: " << this->NormalOrientation << endl;
+ os << indent << "Orientation Point: (" << this->OrientationPoint[0] << ","
+ << this->OrientationPoint[1] << "," << this->OrientationPoint[2] << ")\n";
+ os << indent << "Flip Normals: " << (this->FlipNormals ? "On\n" : "Off\n");
+
+}
diff --git a/Filters/Points/vtkPCANormalEstimation.h b/Filters/Points/vtkPCANormalEstimation.h
new file mode 100644
index 00000000000..62a3656c2e1
--- /dev/null
+++ b/Filters/Points/vtkPCANormalEstimation.h
@@ -0,0 +1,156 @@
+/*=========================================================================
+
+ Program: Visualization Toolkit
+ Module: vtkPCANormalEstimation.h
+
+ Copyright (c) Kitware, Inc.
+ All rights reserved.
+ See LICENSE file for details.
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE. See the above copyright notice for more information.
+
+=========================================================================*/
+// .NAME vtkPCANormalEstimation - generate point normals using local tangent planes
+
+// .SECTION Description
+// vtkPCANormalEstimation generates point normals using PCA (principal
+// component analysis). Basically this estimates a local tangent plane
+// around each sample point p by considering a small neighborhood of points
+// around p, and fitting a plane to the neighborhood (via PCA). A good
+// introductory reference is Hoppe's "Surface reconstruction from
+// unorganized points."
+//
+// To use this filter, specify a neighborhood size. This may have to be set
+// via experimentation. In addition, the user may optionally specify a point
+// locator (instead of the default locator), which is used to accelerate
+// searches around the sample point. Finally, the user should specify how to
+// generate consistently-oriented normals. As computed by PCA, normals may
+// point in arbitrary +/- orientation, which may not be consistent with
+// neighboring normals. There are three methods to address normal
+// consistency: 1) leave the normals as computed, 2) adjust the +/- sign of
+// the normals so that the normals all point towards a specified point, and
+// 3) perform a traversal of the point cloud and flip neighboring normals so
+// that they are mutually consistent.
+//
+// The output of this filter is the same as the input except that a normal
+// per point is produced. (Note that these are unit normals.) While any
+// vtkPointSet type can be provided as input, the output is represented by an
+// explicit representation of points via a vtkPolyData. This output polydata
+// will populate its instance of vtkPoints, but no cells will be defined
+// (i.e., no vtkVertex or vtkPolyVertex are contained in the output).
+
+// .SECTION Caveats
+// This class has been threaded with vtkSMPTools. Using TBB or other
+// non-sequential type (set in the CMake variable
+// VTK_SMP_IMPLEMENTATION_TYPE) may improve performance significantly.
+
+// .SECTION See Also
+// vtkPCACurvatureEstimation
+
+#ifndef vtkPCANormalEstimation_h
+#define vtkPCANormalEstimation_h
+
+#include "vtkFiltersPointsModule.h" // For export macro
+#include "vtkPolyDataAlgorithm.h"
+
+class vtkAbstractPointLocator;
+class vtkIdList;
+
+
+class VTKFILTERSPOINTS_EXPORT vtkPCANormalEstimation : public vtkPolyDataAlgorithm
+{
+public:
+ // Description:
+ // Standard methods for instantiating, obtaining type information, and
+ // printing information.
+ static vtkPCANormalEstimation *New();
+ vtkTypeMacro(vtkPCANormalEstimation,vtkPolyDataAlgorithm);
+ void PrintSelf(ostream& os, vtkIndent indent);
+
+ // Description:
+ // For each sampled point, specify the number of the closest, surrounding
+ // points used to estimate the normal (the so called k-neighborhood). By
+ // default 25 points are used. Smaller numbers may speed performance at the
+ // cost of accuracy.
+ vtkSetClampMacro(SampleSize,int,1,VTK_INT_MAX);
+ vtkGetMacro(SampleSize,int);
+
+ // Description:
+ // This enum is used to control how normals oriented is controlled.
+ enum Style
+ {
+ AS_COMPUTED=0,
+ POINT=1,
+ GRAPH_TRAVERSAL=3
+ };
+
+ // Description:
+ // Configure how the filter addresses consistency in normal
+ // oreientation. When initially computed using PCA, a point normal may
+ // point in the + or - direction, which may not be consistent with
+ // neighboring points. To address this, various strategies have been used
+ // to create consistent normals. The simplest approach is to do nothing
+ // (AsComputed). Another simple approach is to flip the normal based on its
+ // direction with respect to a specified point (i.e., point normals will
+ // point towrads the specified point). Finally, a full traversal of points
+ // across the graph of neighboring, connected points produces the best
+ // results but is computationally expensive.
+ vtkSetMacro(NormalOrientation,int);
+ vtkGetMacro(NormalOrientation,int);
+ void SetNormalOrientationToAsComputed()
+ { this->SetNormalOrientation(AS_COMPUTED); }
+ void SetNormalOrientationToPoint()
+ { this->SetNormalOrientation(POINT); }
+ void SetNormalOrientationToGraphTraversal()
+ { this->SetNormalOrientation(GRAPH_TRAVERSAL); }
+
+ // Description:
+ // If the normal orientation is to be consistent with a specified
+ // direction, then an orientation point should be set. The sign of the
+ // normals will be modified so that they point towards this point. By
+ // default, the specified orientation point is (0,0,0).
+ vtkSetVector3Macro(OrientationPoint,double);
+ vtkGetVectorMacro(OrientationPoint,double,3);
+
+ // Description:
+ // The normal orientation can be flipped by enabling this flag.
+ vtkSetMacro(FlipNormals,bool);
+ vtkGetMacro(FlipNormals,bool);
+ vtkBooleanMacro(FlipNormals,bool);
+
+ // Description:
+ // Specify a point locator. By default a vtkStaticPointLocator is
+ // used. The locator performs efficient searches to locate points
+ // around a sample point.
+ void SetLocator(vtkAbstractPointLocator *locator);
+ vtkGetObjectMacro(Locator,vtkAbstractPointLocator);
+
+protected:
+ vtkPCANormalEstimation();
+ ~vtkPCANormalEstimation();
+
+ // IVars
+ int SampleSize;
+ vtkAbstractPointLocator *Locator;
+ int NormalOrientation;
+ double OrientationPoint[3];
+ bool FlipNormals;
+
+ // Methods used to produce consistent normal orientations
+ void TraverseAndFlip (vtkPoints *inPts, float *normals, char *pointMap,
+ vtkIdList *wave, vtkIdList *wave2);
+
+ // Pipeline management
+ virtual int RequestData(vtkInformation *, vtkInformationVector **,
+ vtkInformationVector *);
+ virtual int FillInputPortInformation(int port, vtkInformation *info);
+
+private:
+ vtkPCANormalEstimation(const vtkPCANormalEstimation&) VTK_DELETE_FUNCTION;
+ void operator=(const vtkPCANormalEstimation&) VTK_DELETE_FUNCTION;
+
+};
+
+#endif
diff --git a/Filters/Points/vtkPointCloudFilter.cxx b/Filters/Points/vtkPointCloudFilter.cxx
new file mode 100644
index 00000000000..a3d2a5e7a3d
--- /dev/null
+++ b/Filters/Points/vtkPointCloudFilter.cxx
@@ -0,0 +1,325 @@
+/*=========================================================================
+
+ Program: Visualization Toolkit
+ Module: vtkPointCloudFilter.cxx
+
+ Copyright (c) Kitware, Inc.
+ All rights reserved.
+ See LICENSE file for details.
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE. See the above copyright notice for more information.
+
+=========================================================================*/
+#include "vtkPointCloudFilter.h"
+
+#include "vtkObjectFactory.h"
+#include "vtkAbstractPointLocator.h"
+#include "vtkStaticPointLocator.h"
+#include "vtkPointSet.h"
+#include "vtkDataArray.h"
+#include "vtkPoints.h"
+#include "vtkPointData.h"
+#include "vtkInformation.h"
+#include "vtkInformationVector.h"
+#include "vtkStreamingDemandDrivenPipeline.h"
+#include "vtkMath.h"
+#include "vtkSMPTools.h"
+#include "vtkSMPThreadLocalObject.h"
+#include "vtkArrayListTemplate.h" // For processing attribute data
+
+
+//----------------------------------------------------------------------------
+// Helper classes to support efficient computing, and threaded execution.
+namespace {
+
+//----------------------------------------------------------------------------
+// Map input points to output. Basically the third pass of the algorithm.
+template <typename T>
+struct MapPoints
+{
+ T *InPoints;
+ T *OutPoints;
+ const vtkIdType *PointMap;
+ ArrayList Arrays;
+
+ MapPoints(vtkIdType, T *inPts, vtkIdType numOutPts, T *outPts,
+ vtkIdType *map, vtkPointData *inPD, vtkPointData *outPD) :
+ InPoints(inPts), OutPoints(outPts), PointMap(map)
+ {
+ this->Arrays.AddArrays(numOutPts, inPD, outPD);
+ }
+
+ void operator() (vtkIdType ptId, vtkIdType endPtId)
+ {
+ T *inP, *outP;
+ const vtkIdType *map=this->PointMap;
+ vtkIdType outPtId;
+
+ for ( ; ptId < endPtId; ++ptId)
+ {
+ outPtId = map[ptId];
+ if ( outPtId != -1 )
+ {
+ inP = this->InPoints + 3*ptId;
+ outP = this->OutPoints + 3*outPtId;
+ *outP++ = *inP++;
+ *outP++ = *inP++;
+ *outP = *inP;
+ this->Arrays.Copy(ptId,outPtId);
+ }
+ }
+ }
+
+ static void Execute(vtkIdType numInPts, T *inPts,
+ vtkIdType numOutPts, T *outPts, vtkIdType *map,
+ vtkPointData *inPD, vtkPointData *outPD)
+ {
+ MapPoints copy(numInPts, inPts, numOutPts, outPts, map, inPD, outPD);
+ vtkSMPTools::For(0, numInPts, copy);
+ }
+
+}; //MapPoints
+
+//----------------------------------------------------------------------------
+// Map outlier points to second output. This is an optional pass of the
+// algorithm.
+template <typename T>
+struct MapOutliers
+{
+ T *InPoints;
+ T *OutPoints;
+ const vtkIdType *PointMap;
+ ArrayList Arrays;
+
+ MapOutliers(vtkIdType, T *inPts, vtkIdType numOutPts, T *outPts,
+ vtkIdType *map, vtkPointData *inPD, vtkPointData *outPD2) :
+ InPoints(inPts), OutPoints(outPts), PointMap(map)
+ {
+ this->Arrays.AddArrays(numOutPts, inPD, outPD2);
+ }
+
+ void operator() (vtkIdType ptId, vtkIdType endPtId)
+ {
+ T *inP, *outP;
+ const vtkIdType *map=this->PointMap;
+ vtkIdType outPtId;
+
+ for ( ; ptId < endPtId; ++ptId)
+ {
+ outPtId = map[ptId];
+ if ( outPtId < 0 )
+ {
+ outPtId = (-outPtId) - 1;
+ inP = this->InPoints + 3*ptId;
+ outP = this->OutPoints + 3*outPtId;
+ *outP++ = *inP++;
+ *outP++ = *inP++;
+ *outP = *inP;
+ this->Arrays.Copy(ptId,outPtId);
+ }
+ }
+ }
+
+ static void Execute(vtkIdType numInPts, T *inPts,
+ vtkIdType numOutPts, T *outPts, vtkIdType *map,
+ vtkPointData *inPD, vtkPointData *outPD2)
+ {
+ MapOutliers copy(numInPts, inPts, numOutPts, outPts, map, inPD, outPD2);
+ vtkSMPTools::For(0, numInPts, copy);
+ }
+
+}; //MapOutliers
+
+
+} //anonymous namespace
+
+//================= Begin class proper =======================================
+//----------------------------------------------------------------------------
+vtkPointCloudFilter::vtkPointCloudFilter()
+{
+ this->PointMap = NULL;
+ this->NumberOfPointsRemoved = 0;
+ this->GenerateOutliers = false;
+
+ // Optional second output of outliers
+ this->SetNumberOfOutputPorts(2);
+}
+
+//----------------------------------------------------------------------------
+vtkPointCloudFilter::~vtkPointCloudFilter()
+{
+ if ( this->PointMap )
+ {
+ delete [] this->PointMap;
+ }
+}
+
+//----------------------------------------------------------------------------
+const vtkIdType* vtkPointCloudFilter::GetPointMap()
+{
+ return this->PointMap;
+}
+
+//----------------------------------------------------------------------------
+vtkIdType vtkPointCloudFilter::GetNumberOfPointsRemoved()
+{
+ return this->NumberOfPointsRemoved;
+}
+
+//----------------------------------------------------------------------------
+// There are three high level passes. First we traverse all the input points
+// to see how many neighbors each point has within a specified radius, and a
+// map is created indicating whether an input point is to be copied to the
+// output. Next a prefix sum is used to count the output points, and to
+// update the mapping between the input and the output. Finally, non-removed
+// input points (and associated attributes) are copied to the output.
+int vtkPointCloudFilter::RequestData(
+ vtkInformation *vtkNotUsed(request),
+ vtkInformationVector **inputVector,
+ vtkInformationVector *outputVector)
+{
+ // get the info objects
+ vtkInformation *inInfo = inputVector[0]->GetInformationObject(0);
+ vtkInformation *outInfo = outputVector->GetInformationObject(0);
+
+ // get the input and output
+ vtkPointSet *input = vtkPointSet::SafeDownCast(
+ inInfo->Get(vtkDataObject::DATA_OBJECT()));
+ vtkPolyData *output = vtkPolyData::SafeDownCast(
+ outInfo->Get(vtkDataObject::DATA_OBJECT()));
+
+ // Reset the filter
+ this->NumberOfPointsRemoved = 0;
+ if ( this->PointMap )
+ {
+ delete [] this->PointMap; //might have executed previously
+ }
+
+ // Check input
+ if ( !input || !output )
+ {
+ return 1;
+ }
+ vtkIdType numPts = input->GetNumberOfPoints();
+ if ( numPts < 1 )
+ {
+ return 1;
+ }
+
+ // Okay invoke filtering operation. This is always the initial pass.
+ this->PointMap = new vtkIdType[numPts];
+ if ( ! this->FilterPoints(input) )
+ {
+ return 1;
+ }
+
+ // Count the resulting points (prefix sum). The second pass of the algorithm; it
+ // could be threaded but prefix sum does not benefit very much from threading.
+ vtkIdType ptId;
+ vtkIdType count=0;
+ vtkIdType *map = this->PointMap;
+ for (ptId=0; ptId < numPts; ++ptId)
+ {
+ if ( map[ptId] != -1 )
+ {
+ map[ptId] = count;
+ count++;
+ }
+ }
+ this->NumberOfPointsRemoved = numPts - count;
+
+ // If the number of input and output points is the same we short circuit
+ // the process. Otherwise, copy the masked input points to the output.
+ vtkPointData *inPD = input->GetPointData();
+ vtkPointData *outPD = output->GetPointData();
+ if ( this->NumberOfPointsRemoved == 0 )
+ {
+ output->SetPoints(input->GetPoints());
+ outPD->PassData(inPD);
+ return 1;
+ }
+
+ // Okay copy the points from the input to the output. We use a threaded
+ // operation that provides a minor benefit (since it's mostly data
+ // movement with almost no computation).
+ outPD->CopyAllocate(inPD,count);
+ vtkPoints *points = input->GetPoints()->NewInstance();
+ points->SetDataType(input->GetPoints()->GetDataType());
+ points->SetNumberOfPoints(count);
+ output->SetPoints(points);
+
+ void *inPtr = input->GetPoints()->GetVoidPointer(0);
+ void *outPtr = output->GetPoints()->GetVoidPointer(0);
+ switch (output->GetPoints()->GetDataType())
+ {
+ vtkTemplateMacro(MapPoints<VTK_TT>::Execute(numPts, (VTK_TT *)inPtr, count,
+ (VTK_TT *)outPtr, this->PointMap, inPD, outPD));
+ }
+
+ // Clean up. We leave the map in case the user wants to use it.
+ points->Delete();
+
+ // Create the second output if requested. Note that we are using a negative
+ // count in the map (offset by -1) which indicates the final position of
+ // the output point in the second output.
+ if ( this->GenerateOutliers && this->NumberOfPointsRemoved > 0 )
+ {
+ vtkInformation *outInfo2 = outputVector->GetInformationObject(1);
+ // get the second output
+ vtkPolyData *output2 = vtkPolyData::SafeDownCast(
+ outInfo2->Get(vtkDataObject::DATA_OBJECT()));
+ vtkPointData *outPD2 = output2->GetPointData();
+ outPD2->CopyAllocate(inPD,(count-1));
+
+ // Update map
+ count = 1; //offset by one
+ map = this->PointMap;
+ for (ptId=0; ptId < numPts; ++ptId)
+ {
+ if ( map[ptId] == -1 )
+ {
+ map[ptId] = (-count);
+ count++;
+ }
+ }
+
+ // Copy to second output
+ vtkPoints *points2 = input->GetPoints()->NewInstance();
+ points2->SetDataType(input->GetPoints()->GetDataType());
+ points2->SetNumberOfPoints(count-1);
+ output2->SetPoints(points2);
+ void *outPtr2 = output2->GetPoints()->GetVoidPointer(0);
+ switch (output->GetPoints()->GetDataType())
+ {
+ vtkTemplateMacro(MapOutliers<VTK_TT>::Execute(numPts, (VTK_TT *)inPtr, (count-1),
+ (VTK_TT *)outPtr2, this->PointMap, inPD, outPD2));
+ }
+ points2->Delete();
+ }
+
+ return 1;
+}
+
+//----------------------------------------------------------------------------
+int vtkPointCloudFilter::
+FillInputPortInformation(int, vtkInformation *info)
+{
+ info->Set(vtkAlgorithm::INPUT_REQUIRED_DATA_TYPE(), "vtkPointSet");
+ return 1;
+}
+
+
+//----------------------------------------------------------------------------
+void vtkPointCloudFilter::PrintSelf(ostream& os, vtkIndent indent)
+{
+ this->Superclass::PrintSelf(os,indent);
+
+ os << indent << "Number of Points Removed: "
+ << this->NumberOfPointsRemoved << "\n";
+
+ os << indent << "Generate Outliers: "
+ << (this->GenerateOutliers ? "On\n" : "Off\n");
+
+}
diff --git a/Filters/Points/vtkPointCloudFilter.h b/Filters/Points/vtkPointCloudFilter.h
new file mode 100644
index 00000000000..951e9793867
--- /dev/null
+++ b/Filters/Points/vtkPointCloudFilter.h
@@ -0,0 +1,118 @@
+/*=========================================================================
+
+ Program: Visualization Toolkit
+ Module: vtkPointCloudFilter.h
+
+ Copyright (c) Kitware, Inc.
+ All rights reserved.
+ See LICENSE file for details.
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE. See the above copyright notice for more information.
+
+=========================================================================*/
+// .NAME vtkPointCloudFilter - abstract class for filtering a point cloud
+
+// .SECTION Description
+// vtkPointCloudFilter serves as a base for classes that filter point clouds.
+// It takes as input any vtkPointSet (which represents points explicitly
+// using vtkPoints) and produces as output an explicit representation of
+// filtered points via a vtkPolyData. This output vtkPolyData will populate
+// its instance of vtkPoints, but no cells will be defined (i.e., no
+// vtkVertex or vtkPolyVertex are contained in the output). Also, after
+// filter execution, the user can request a vtkIdType* point map which
+// indicates how the input points were mapped to the output. A value of
+// PointMap[i] < 0 (where i is the ith input point) means that the ith input
+// point was removed. Otherwise PointMap[i] indicates the position in the
+// output vtkPoints array (point cloud).
+//
+// Optionally the filter may produce a second output. This second output is
+// another vtkPolyData with a vtkPoints that contains the points that were
+// removed during processing. To produce this second output, you must enable
+// GenerateOutliers. If this optional, second output is created, then the
+// contents of the PointMap are modified as well. In this case, a PointMap[i]
+// < 0 means that the ith input point has been mapped to the (-PointMap[i])-1
+// position in the second output's vtkPoints.
+
+// .SECTION Caveats
+// This class has been threaded with vtkSMPTools. Using TBB or other
+// non-sequential type (set in the CMake variable
+// VTK_SMP_IMPLEMENTATION_TYPE) may improve performance significantly.
+//
+// The filter copies point attributes from input to output consistent
+// with the filtering operation.
+//
+// It is convenient to use vtkPointGaussianMapper to render the points (since
+// this mapper does not require cells to be defined, and it is quite fast).
+
+// .SECTION See Also
+// vtkRadiusOutlierRemoval vtkPointGaussianMapper vtkThresholdPoints
+
+#ifndef vtkPointCloudFilter_h
+#define vtkPointCloudFilter_h
+
+#include "vtkFiltersPointsModule.h" // For export macro
+#include "vtkPolyDataAlgorithm.h"
+
+class vtkPointSet;
+
+
+class VTKFILTERSPOINTS_EXPORT vtkPointCloudFilter : public vtkPolyDataAlgorithm
+{
+public:
+ // Description:
+ // Standard methods to obtain type information, and print information.
+ vtkTypeMacro(vtkPointCloudFilter,vtkPolyDataAlgorithm);
+ void PrintSelf(ostream& os, vtkIndent indent);
+
+ // Description:
+ // Retrieve a map which indicates, on a point-by-point basis, where each
+ // input point was placed into the output. In other words, map[i] indicates
+ // where the ith input point is located in the output array of points. If
+ // map[i] < 0, then the ith input point was removed during filter
+ // execution. This method returns valid information only after the filter
+ // executes.
+ const vtkIdType* GetPointMap();
+
+ // Description:
+ // Return the number of points removed after filter execution. The
+ // information retuned is valid only after the filter executes.
+ vtkIdType GetNumberOfPointsRemoved();
+
+ // Description:
+ // If this method is enabled (true), then a second output will be created
+ // that contains the outlier points. By default this is off (false). Note
+ // that if enabled, the PointMap is modified as well: the outlier points
+ // are listed as well, with similar meaning, except their value is negated
+ // and shifted by -1.
+ vtkSetMacro(GenerateOutliers,bool);
+ vtkGetMacro(GenerateOutliers,bool);
+ vtkBooleanMacro(GenerateOutliers,bool);
+
+protected:
+ vtkPointCloudFilter();
+ ~vtkPointCloudFilter();
+
+ // All derived classes must implement this method. Note that a side effect of
+ // the class is to populate the PointMap. Zero is returned on error.
+ virtual int FilterPoints(vtkPointSet *input) = 0;
+
+ // Keep track of which points are removed through the point map
+ vtkIdType *PointMap;
+ vtkIdType NumberOfPointsRemoved;
+
+ // Does a second output need to be created?
+ bool GenerateOutliers;
+
+ virtual int RequestData(vtkInformation *, vtkInformationVector **,
+ vtkInformationVector *);
+ virtual int FillInputPortInformation(int port, vtkInformation *info);
+
+private:
+ vtkPointCloudFilter(const vtkPointCloudFilter&) VTK_DELETE_FUNCTION;
+ void operator=(const vtkPointCloudFilter&) VTK_DELETE_FUNCTION;
+
+};
+
+#endif
diff --git a/Filters/Points/vtkRadiusOutlierRemoval.cxx b/Filters/Points/vtkRadiusOutlierRemoval.cxx
new file mode 100644
index 00000000000..9878457d2e2
--- /dev/null
+++ b/Filters/Points/vtkRadiusOutlierRemoval.cxx
@@ -0,0 +1,152 @@
+/*=========================================================================
+
+ Program: Visualization Toolkit
+ Module: vtkRadiusOutlierRemoval.cxx
+
+ Copyright (c) Kitware, Inc.
+ All rights reserved.
+ See LICENSE file for details.
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE. See the above copyright notice for more information.
+
+=========================================================================*/
+#include "vtkRadiusOutlierRemoval.h"
+
+#include "vtkObjectFactory.h"
+#include "vtkAbstractPointLocator.h"
+#include "vtkStaticPointLocator.h"
+#include "vtkPointSet.h"
+#include "vtkPoints.h"
+#include "vtkIdList.h"
+#include "vtkSMPTools.h"
+#include "vtkSMPThreadLocalObject.h"
+
+
+vtkStandardNewMacro(vtkRadiusOutlierRemoval);
+vtkCxxSetObjectMacro(vtkRadiusOutlierRemoval,Locator,vtkAbstractPointLocator);
+
+//----------------------------------------------------------------------------
+// Helper classes to support efficient computing, and threaded execution.
+namespace {
+
+//----------------------------------------------------------------------------
+// The threaded core of the algorithm (first pass)
+template <typename T>
+struct RemoveOutliers
+{
+ const T *Points;
+ vtkAbstractPointLocator *Locator;
+ double Radius;
+ int NumNeighbors;
+ vtkIdType *PointMap;
+
+ // Don't want to allocate working arrays on every thread invocation. Thread local
+ // storage lots of new/delete.
+ vtkSMPThreadLocalObject<vtkIdList> PIds;
+
+ RemoveOutliers(T *points, vtkAbstractPointLocator *loc, double radius, int numNei,
+ vtkIdType *map) : Points(points), Locator(loc), Radius(radius),
+ NumNeighbors(numNei), PointMap(map)
+ {
+ }
+
+ // Just allocate a little bit of memory to get started.
+ void Initialize()
+ {
+ vtkIdList*& pIds = this->PIds.Local();
+ pIds->Allocate(128); //allocate some memory
+ }
+
+ void operator() (vtkIdType ptId, vtkIdType endPtId)
+ {
+ const T *p = this->Points + 3*ptId;
+ vtkIdType *map = this->PointMap + ptId;
+ double x[3];
+ vtkIdList*& pIds = this->PIds.Local();
+
+ for ( ; ptId < endPtId; ++ptId)
+ {
+ x[0] = static_cast<double>(*p++);
+ x[1] = static_cast<double>(*p++);
+ x[2] = static_cast<double>(*p++);
+
+ this->Locator->FindPointsWithinRadius(this->Radius, x, pIds);
+ vtkIdType numPts = pIds->GetNumberOfIds();
+
+ // Keep in mind that The FindPoints method will always return at
+ // least one point (itself).
+ *map++ = ( numPts > this->NumNeighbors ? 1 : -1 );
+ }
+ }
+
+ void Reduce()
+ {
+ }
+
+ static void Execute(vtkRadiusOutlierRemoval *self, vtkIdType numPts,
+ T *points, vtkIdType *map)
+ {
+ RemoveOutliers remove(points, self->GetLocator(), self->GetRadius(),
+ self->GetNumberOfNeighbors(), map);
+ vtkSMPTools::For(0, numPts, remove);
+ }
+
+}; //RemoveOutliers
+
+} //anonymous namespace
+
+//================= Begin class proper =======================================
+//----------------------------------------------------------------------------
+vtkRadiusOutlierRemoval::vtkRadiusOutlierRemoval()
+{
+ this->Radius = 1.0;
+ this->NumberOfNeighbors = 2;
+ this->Locator = vtkStaticPointLocator::New();
+}
+
+//----------------------------------------------------------------------------
+vtkRadiusOutlierRemoval::~vtkRadiusOutlierRemoval()
+{
+ this->SetLocator(NULL);
+}
+
+//----------------------------------------------------------------------------
+// Traverse all the input points to see how many neighbors each point has
+// within a specified radius, and populate the map which indicates how points
+// are to be copied to the output.
+int vtkRadiusOutlierRemoval::FilterPoints(vtkPointSet *input)
+{
+ // Perform the point removal
+ // Start by building the locator
+ if ( !this->Locator )
+ {
+ vtkErrorMacro(<<"Point locator required\n");
+ return 0;
+ }
+ this->Locator->SetDataSet(input);
+ this->Locator->BuildLocator();
+
+ // Determine which points, if any, should be removed. We create a map
+ // to keep track. The bulk of the algorithmic work is done in this pass.
+ vtkIdType numPts = input->GetNumberOfPoints();
+ void *inPtr = input->GetPoints()->GetVoidPointer(0);
+ switch (input->GetPoints()->GetDataType())
+ {
+ vtkTemplateMacro(RemoveOutliers<VTK_TT>::
+ Execute(this, numPts, (VTK_TT *)inPtr, this->PointMap));
+ }
+
+ return 1;
+}
+
+//----------------------------------------------------------------------------
+void vtkRadiusOutlierRemoval::PrintSelf(ostream& os, vtkIndent indent)
+{
+ this->Superclass::PrintSelf(os,indent);
+
+ os << indent << "Radius: " << this->Radius << "\n";
+ os << indent << "Number of Neighbors: " << this->NumberOfNeighbors << "\n";
+ os << indent << "Locator: " << this->Locator << "\n";
+}
diff --git a/Filters/Points/vtkRadiusOutlierRemoval.h b/Filters/Points/vtkRadiusOutlierRemoval.h
new file mode 100644
index 00000000000..8a4de26a122
--- /dev/null
+++ b/Filters/Points/vtkRadiusOutlierRemoval.h
@@ -0,0 +1,102 @@
+/*=========================================================================
+
+ Program: Visualization Toolkit
+ Module: vtkRadiusOutlierRemoval.h
+
+ Copyright (c) Kitware, Inc.
+ All rights reserved.
+ See LICENSE file for details.
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE. See the above copyright notice for more information.
+
+=========================================================================*/
+// .NAME vtkRadiusOutlierRemoval - remove isolated points
+
+// .SECTION Description
+// vtkRadiusOutlierRemoval removes isolated points; i.e., those points that
+// have few neighbors within a specified radius. The user must specify the
+// radius defining the local region, as well as the isolation threshold
+// (i.e., number of neighboring points required for the point to be
+// considered isolated). Optionally, users can specify a point locator to
+// accelerate local neighborhood search operations. (By default a
+// vtkStaticPointLocator will be created.)
+//
+// Note that while any vtkPointSet type can be provided as input, the output
+// is represented by an explicit representation of points via a
+// vtkPolyData. This output polydata will populate its instance of vtkPoints,
+// but no cells will be defined (i.e., no vtkVertex or vtkPolyVertex are
+// contained in the output). Also, after filter execution, the user can
+// request a vtkIdType* map which indicates how the input points were mapped
+// to the output. A value of map[i] (where i is the ith input point) less
+// than 0 means that the ith input point was removed. (See also the
+// superclass documentation for accessing the removed points through the
+// filter's second output.)
+
+// .SECTION Caveats
+// This class has been threaded with vtkSMPTools. Using TBB or other
+// non-sequential type (set in the CMake variable
+// VTK_SMP_IMPLEMENTATION_TYPE) may improve performance significantly.
+
+// .SECTION See Also
+// vtkPointCloudFilter vtkStatisticalOutlierRemoval vtkExtractPoints
+// vtkThresholdPoints vtkImplicitFunction
+
+#ifndef vtkRadiusOutlierRemoval_h
+#define vtkRadiusOutlierRemoval_h
+
+#include "vtkFiltersPointsModule.h" // For export macro
+#include "vtkPointCloudFilter.h"
+
+class vtkAbstractPointLocator;
+class vtkPointSet;
+
+
+class VTKFILTERSPOINTS_EXPORT vtkRadiusOutlierRemoval : public vtkPointCloudFilter
+{
+public:
+ // Description:
+ // Standard methods for instantiating, obtaining type information, and
+ // printing information.
+ static vtkRadiusOutlierRemoval *New();
+ vtkTypeMacro(vtkRadiusOutlierRemoval,vtkPointCloudFilter);
+ void PrintSelf(ostream& os, vtkIndent indent);
+
+ // Description:
+ // Specify the local search radius.
+ vtkSetClampMacro(Radius,double,0.0,VTK_FLOAT_MAX);
+ vtkGetMacro(Radius,double);
+
+ // Description:
+ // Specify the number of neighbors that a point must have, within
+ // the specified radius, for the point to not be considered isolated.
+ vtkSetClampMacro(NumberOfNeighbors,int,1,VTK_INT_MAX);
+ vtkGetMacro(NumberOfNeighbors,int);
+
+ // Description:
+ // Specify a point locator. By default a vtkStaticPointLocator is
+ // used. The locator performs efficient searches to locate near a
+ // specified interpolation position.
+ void SetLocator(vtkAbstractPointLocator *locator);
+ vtkGetObjectMacro(Locator,vtkAbstractPointLocator);
+
+protected:
+ vtkRadiusOutlierRemoval();
+ ~vtkRadiusOutlierRemoval();
+
+ double Radius;
+ int NumberOfNeighbors;
+ vtkAbstractPointLocator *Locator;
+
+ // All derived classes must implement this method. Note that a side effect of
+ // the class is to populate the PointMap. Zero is returned if there is a failure.
+ virtual int FilterPoints(vtkPointSet *input);
+
+private:
+ vtkRadiusOutlierRemoval(const vtkRadiusOutlierRemoval&) VTK_DELETE_FUNCTION;
+ void operator=(const vtkRadiusOutlierRemoval&) VTK_DELETE_FUNCTION;
+
+};
+
+#endif
diff --git a/Filters/Points/vtkSignedDistance.cxx b/Filters/Points/vtkSignedDistance.cxx
new file mode 100644
index 00000000000..4d21f6975b5
--- /dev/null
+++ b/Filters/Points/vtkSignedDistance.cxx
@@ -0,0 +1,466 @@
+/*=========================================================================
+
+ Program: Visualization Toolkit
+ Module: vtkSignedDistance.h
+
+ Copyright (c) Kitware, Inc.
+ All rights reserved.
+ See LICENSE file for details.
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE. See the above copyright notice for more information.
+
+=========================================================================*/
+#include "vtkSignedDistance.h"
+
+#include "vtkArrayListTemplate.h" // For processing attribute data
+#include "vtkImageData.h"
+#include "vtkInformation.h"
+#include "vtkInformationVector.h"
+#include "vtkMath.h"
+#include "vtkObjectFactory.h"
+#include "vtkPointData.h"
+#include "vtkPolyData.h"
+#include "vtkAbstractPointLocator.h"
+#include "vtkStaticPointLocator.h"
+#include "vtkStreamingDemandDrivenPipeline.h"
+#include "vtkDoubleArray.h"
+#include "vtkSMPTools.h"
+#include "vtkSMPThreadLocalObject.h"
+
+vtkStandardNewMacro(vtkSignedDistance);
+vtkCxxSetObjectMacro(vtkSignedDistance,Locator,vtkAbstractPointLocator);
+
+//----------------------------------------------------------------------------
+// Helper classes to support efficient computing, and threaded execution.
+namespace {
+
+// The threaded core of the algorithm
+template <typename T>
+struct SignedDistance
+{
+ T *Pts;
+ float *Normals;
+ int Dims[3];
+ double Origin[3];
+ double Spacing[3];
+ double Radius;
+ vtkAbstractPointLocator *Locator;
+ float *Scalars;
+
+ // Don't want to allocate these working arrays on every thread invocation,
+ // so make them thread local.
+ vtkSMPThreadLocalObject<vtkIdList> PIds;
+
+ SignedDistance(T *pts, float *normals, int dims[3], double origin[3], double spacing[3],
+ double radius, vtkAbstractPointLocator *loc, float *scalars) :
+ Pts(pts), Normals(normals), Radius(radius), Locator(loc), Scalars(scalars)
+ {
+ for (int i=0; i < 3; ++i)
+ {
+ this->Dims[i] = dims[i];
+ this->Origin[i] = origin[i];
+ this->Spacing[i] = spacing[i];
+ }
+ }
+
+ // Just allocate a little bit of memory to get started.
+ void Initialize()
+ {
+ vtkIdList*& pIds = this->PIds.Local();
+ pIds->Allocate(128); //allocate some memory
+ }
+
+ // Threaded interpolation method
+ void operator() (vtkIdType slice, vtkIdType sliceEnd)
+ {
+ T *p;
+ float *n;
+ double x[3], dist;
+ vtkIdType numPts;
+ double *origin=this->Origin;
+ double *spacing=this->Spacing;
+ int ii, *dims=this->Dims;
+ vtkIdType ptId, jOffset, kOffset, sliceSize=dims[0]*dims[1];
+ vtkIdList*& pIds = this->PIds.Local();
+
+ for ( ; slice < sliceEnd; ++slice)
+ {
+ x[2] = origin[2] + slice*spacing[2];
+ kOffset = slice*sliceSize;
+
+ for ( int j=0; j < dims[1]; ++j)
+ {
+ x[1] = origin[1] + j*spacing[1];
+ jOffset = j*dims[0];
+
+ for ( int i=0; i < dims[0]; ++i)
+ {
+ x[0] = origin[0] + i*spacing[0];
+ ptId = i + jOffset + kOffset;
+
+ // Compute signed distance from surrounding points
+ this->Locator->FindPointsWithinRadius(this->Radius, x, pIds);
+ numPts = pIds->GetNumberOfIds();
+ if ( numPts > 0 )
+ {
+ for (dist=0.0, ii=0; ii < numPts; ++ii)
+ {
+ p = this->Pts + 3*pIds->GetId(ii);
+ n = this->Normals + 3*pIds->GetId(ii);
+ dist += n[0]*(x[0]-p[0]) + n[1]*(x[1]-p[1]) + n[2]*(x[2]-p[2]);
+ }
+ this->Scalars[ptId] = dist / static_cast<double>(numPts);
+ }//if nearby points
+ }//over i
+ }//over j
+ }//over slices
+ }
+
+ void Reduce()
+ {
+ }
+
+ static void Execute(vtkSignedDistance *self, T *pts, float *normals, int dims[3],
+ double origin[3], double spacing[3], float *scalars)
+ {
+ SignedDistance dist(pts, normals, dims, origin, spacing, self->GetRadius(),
+ self->GetLocator(), scalars);
+ vtkSMPTools::For(0, dims[2], dist);
+ }
+
+}; //SignedDistance
+
+} //anonymous namespace
+
+//================= Begin class proper =======================================
+//----------------------------------------------------------------------------
+// Construct with sample dimensions=(256,256,256), and so that model bounds are
+// automatically computed from the input.
+vtkSignedDistance::vtkSignedDistance()
+{
+ this->Dimensions[0] = 256;
+ this->Dimensions[1] = 256;
+ this->Dimensions[2] = 256;
+
+ this->Bounds[0] = 0.0;
+ this->Bounds[1] = 0.0;
+ this->Bounds[2] = 0.0;
+ this->Bounds[3] = 0.0;
+ this->Bounds[4] = 0.0;
+ this->Bounds[5] = 0.0;
+
+ this->Radius = 0.1;
+
+ this->Locator = vtkStaticPointLocator::New();
+
+ this->Initialized = 0;
+}
+
+//----------------------------------------------------------------------------
+vtkSignedDistance::~vtkSignedDistance()
+{
+ this->SetLocator(NULL);
+}
+
+
+//----------------------------------------------------------------------------
+// Initialize the filter for appending data. You must invoke the
+// StartAppend() method before doing successive Appends(). It's also a
+// good idea to manually specify the model bounds; otherwise the input
+// bounds for the data will be used.
+void vtkSignedDistance::StartAppend()
+{
+ vtkInformation* outInfo = this->GetOutputInformation(0);
+ outInfo->Set(
+ vtkStreamingDemandDrivenPipeline::UPDATE_EXTENT(),
+ vtkStreamingDemandDrivenPipeline::GetWholeExtent(outInfo),
+ 6);
+
+ vtkDebugMacro(<< "Initializing data");
+ this->AllocateOutputData(this->GetOutput(), this->GetOutputInformation(0));
+ vtkIdType numPts = this->Dimensions[0] * this->Dimensions[1] * this->Dimensions[2];
+
+ // initialize output to initial unseen value at each location
+ float *newScalars = static_cast<float*>(
+ this->GetOutput()->GetPointData()->GetScalars()->GetVoidPointer(0));
+ std::fill_n(newScalars, numPts, this->Radius);
+
+ // Compute the initial bounds
+ double bounds[6];
+ vtkImageData *output=this->GetOutput();
+ double tempd[3];
+ int i;
+
+ // compute model bounds if not set previously
+ if ( this->Bounds[0] >= this->Bounds[1] ||
+ this->Bounds[2] >= this->Bounds[3] ||
+ this->Bounds[4] >= this->Bounds[5] )
+ {
+ vtkPolyData *input = vtkPolyData::SafeDownCast(this->GetInput());
+ input->GetBounds(bounds);
+ for (i=0; i<3; i++)
+ {
+ this->Bounds[2*i] = bounds[2*i];
+ this->Bounds[2*i+1] = bounds[2*i+1];
+ }
+ }
+
+ // Set volume origin and data spacing
+ output->SetOrigin(this->Bounds[0], this->Bounds[2], this->Bounds[4]);
+
+ for (i=0; i<3; i++)
+ {
+ tempd[i] = (this->Bounds[2*i+1] - this->Bounds[2*i]) /
+ (this->Dimensions[i] - 1);
+ }
+ output->SetSpacing(tempd);
+
+ outInfo->Set(vtkDataObject::ORIGIN(),this->Bounds[0],
+ this->Bounds[2], this->Bounds[4]);
+ outInfo->Set(vtkDataObject::SPACING(),tempd,3);
+
+ this->Initialized = 1;
+}
+
+
+//----------------------------------------------------------------------------
+// Append a data set to the existing output. To use this function,
+// you'll have to invoke the StartAppend() method before doing
+// successive appends. It's also a good idea to specify the model
+// bounds; otherwise the input model bounds is used. When you've
+// finished appending, use the EndAppend() method.
+void vtkSignedDistance::Append(vtkPolyData *input)
+{
+ vtkDebugMacro(<< "Appending data");
+
+ // There better be data
+ if ( !input || input->GetNumberOfPoints() < 1 )
+ {
+ return;
+ }
+
+ if ( !this->Initialized )
+ {
+ this->StartAppend();
+ }
+
+ // Make sure that there are normals and output scalars
+ vtkPoints *pts = input->GetPoints();
+ float *scalars = static_cast<float*>(
+ this->GetOutput()->GetPointData()->GetScalars()->GetVoidPointer(0));
+ vtkDataArray *normalArray = input->GetPointData()->GetNormals();
+ if ( ! normalArray || normalArray->GetDataType() != VTK_FLOAT )
+ {
+ vtkErrorMacro(<< "Float normals required!");
+ return;
+ }
+ float *normals = static_cast<float*>(normalArray->GetVoidPointer(0));
+
+ // Build the locator
+ if ( !this->Locator )
+ {
+ vtkErrorMacro(<<"Point locator required\n");
+ return;
+ }
+ this->Locator->SetDataSet(input);
+ this->Locator->BuildLocator();
+
+ // Finally: compute the signed distance function
+ vtkImageData *output=this->GetOutput();
+ void *inPtr = pts->GetVoidPointer(0);
+ switch (pts->GetDataType())
+ {
+ vtkTemplateMacro(SignedDistance<VTK_TT>::Execute(this, (VTK_TT *)inPtr, normals,
+ this->Dimensions, output->GetOrigin(), output->GetSpacing(), scalars));
+ }
+
+}
+
+//----------------------------------------------------------------------------
+// Method completes the append process (does the capping if requested).
+void vtkSignedDistance::EndAppend()
+{
+ vtkDataArray *newScalars;
+ vtkDebugMacro(<< "End append");
+
+ if (!(newScalars = this->GetOutput()->GetPointData()->GetScalars()))
+ {
+ vtkErrorMacro("No output produced.");
+ return;
+ }
+}
+
+//----------------------------------------------------------------------------
+int vtkSignedDistance::RequestInformation (
+ vtkInformation * vtkNotUsed(request),
+ vtkInformationVector ** vtkNotUsed( inputVector ),
+ vtkInformationVector *outputVector)
+{
+ // get the info objects
+ vtkInformation* outInfo = outputVector->GetInformationObject(0);
+
+ int i;
+ double ar[3], origin[3];
+
+ vtkDataObject::SetPointDataActiveScalarInfo(outInfo, VTK_FLOAT, 1);
+
+ outInfo->Set(vtkStreamingDemandDrivenPipeline::WHOLE_EXTENT(),
+ 0, this->Dimensions[0]-1,
+ 0, this->Dimensions[1]-1,
+ 0, this->Dimensions[2]-1);
+
+ for (i=0; i < 3; i++)
+ {
+ origin[i] = this->Bounds[2*i];
+ if ( this->Dimensions[i] <= 1 )
+ {
+ ar[i] = 1;
+ }
+ else
+ {
+ ar[i] = (this->Bounds[2*i+1] - this->Bounds[2*i])
+ / (this->Dimensions[i] - 1);
+ }
+ }
+ outInfo->Set(vtkDataObject::ORIGIN(),origin,3);
+ outInfo->Set(vtkDataObject::SPACING(),ar,3);
+
+ return 1;
+}
+
+//----------------------------------------------------------------------------
+int vtkSignedDistance::RequestData(
+ vtkInformation* vtkNotUsed( request ),
+ vtkInformationVector** inputVector,
+ vtkInformationVector* vtkNotUsed( outputVector ))
+{
+ // get the input
+ vtkInformation* inInfo = inputVector[0]->GetInformationObject(0);
+ vtkPolyData *input = vtkPolyData::SafeDownCast(
+ inInfo->Get(vtkDataObject::DATA_OBJECT()));
+
+ vtkDebugMacro(<< "Executing space carver");
+
+ if (input == NULL)
+ {
+ // we do not want to release the data because user might
+ // have called Append ...
+ return 0;
+ }
+
+ this->StartAppend();
+ this->Append(input);
+ this->EndAppend();
+
+ return 1;
+}
+
+//----------------------------------------------------------------------------
+// Set the i-j-k dimensions on which to sample the distance function.
+void vtkSignedDistance::SetDimensions(int i, int j, int k)
+{
+ int dim[3];
+
+ dim[0] = i;
+ dim[1] = j;
+ dim[2] = k;
+
+ this->SetDimensions(dim);
+}
+
+//----------------------------------------------------------------------------
+void vtkSignedDistance::SetDimensions(int dim[3])
+{
+ int dataDim, i;
+
+ vtkDebugMacro(<< " setting Dimensions to (" << dim[0] << "," << dim[1] << "," << dim[2] << ")");
+
+ if ( dim[0] != this->Dimensions[0] ||
+ dim[1] != this->Dimensions[1] ||
+ dim[2] != this->Dimensions[2] )
+ {
+ if ( dim[0]<1 || dim[1]<1 || dim[2]<1 )
+ {
+ vtkErrorMacro (<< "Bad Sample Dimensions, retaining previous values");
+ return;
+ }
+
+ for (dataDim=0, i=0; i<3 ; i++)
+ {
+ if (dim[i] > 1)
+ {
+ dataDim++;
+ }
+ }
+
+ if ( dataDim < 3 )
+ {
+ vtkErrorMacro(<<"Sample dimensions must define a volume!");
+ return;
+ }
+
+ for ( i=0; i<3; i++)
+ {
+ this->Dimensions[i] = dim[i];
+ }
+
+ this->Modified();
+ }
+}
+
+//----------------------------------------------------------------------------
+int vtkSignedDistance::FillInputPortInformation(
+ int vtkNotUsed( port ), vtkInformation* info)
+{
+ info->Set(vtkAlgorithm::INPUT_REQUIRED_DATA_TYPE(), "vtkPolyData");
+ info->Set(vtkAlgorithm::INPUT_IS_OPTIONAL(), 1);
+ return 1;
+}
+
+//----------------------------------------------------------------------------
+int vtkSignedDistance::ProcessRequest(vtkInformation* request,
+ vtkInformationVector** inputVector,
+ vtkInformationVector* outputVector)
+{
+ // If we have no input then we will not generate the output because
+ // the user already called StartAppend/Append/EndAppend.
+ if(request->Has(vtkDemandDrivenPipeline::REQUEST_DATA_NOT_GENERATED()))
+ {
+ if(inputVector[0]->GetNumberOfInformationObjects() == 0)
+ {
+ vtkInformation* outInfo = outputVector->GetInformationObject(0);
+ outInfo->Set(vtkDemandDrivenPipeline::DATA_NOT_GENERATED(), 1);
+ }
+ return 1;
+ }
+ else if(request->Has(vtkDemandDrivenPipeline::REQUEST_DATA()))
+ {
+ if(inputVector[0]->GetNumberOfInformationObjects() == 0)
+ {
+ return 1;
+ }
+ }
+ return this->Superclass::ProcessRequest(request, inputVector, outputVector);
+}
+
+//----------------------------------------------------------------------------
+void vtkSignedDistance::PrintSelf(ostream& os, vtkIndent indent)
+{
+ this->Superclass::PrintSelf(os,indent);
+
+ os << indent << "Radius: " << this->Radius << "\n";
+ os << indent << "Dimensions: (" << this->Dimensions[0] << ", "
+ << this->Dimensions[1] << ", "
+ << this->Dimensions[2] << ")\n";
+ os << indent << "Bounds: \n";
+ os << indent << " Xmin,Xmax: (" << this->Bounds[0] << ", "
+ << this->Bounds[1] << ")\n";
+ os << indent << " Ymin,Ymax: (" << this->Bounds[2] << ", "
+ << this->Bounds[3] << ")\n";
+ os << indent << " Zmin,Zmax: (" << this->Bounds[4] << ", "
+ << this->Bounds[5] << ")\n";
+
+ os << indent << "Locator: " << this->Locator << "\n";
+}
diff --git a/Filters/Points/vtkSignedDistance.h b/Filters/Points/vtkSignedDistance.h
new file mode 100644
index 00000000000..dc293d11f71
--- /dev/null
+++ b/Filters/Points/vtkSignedDistance.h
@@ -0,0 +1,156 @@
+/*=========================================================================
+
+ Program: Visualization Toolkit
+ Module: vtkSignedDistance.h
+
+ Copyright (c) Kitware, Inc.
+ All rights reserved.
+ See LICENSE file for details.
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE. See the above copyright notice for more information.
+
+=========================================================================*/
+// .NAME vtkSignedDistance - compute signed distances from an input point cloud
+// .SECTION Description
+// vtkSignedDistance is a filter that computes signed distances over a volume
+// from an input point cloud. The input point cloud must have point normals
+// defined, as well as an optional weighting function (e.g., probabilities
+// that the point measurements are accurate). Once the signed distance
+// function is computed, then the output volume may be isocontoured to
+// extract a approximating surface to the point cloud.
+//
+// To use this filter, specify the input vtkPolyData (which represents the
+// point cloud); define the sampling volume; specify a radius (which limits
+// the radius of influence of each point); and set an optional point locator
+// (to accelerate proximity operations, a vtkStaticPointLocator is used by
+// default). Note that large radius values may have significant impact on
+// performance. The volume is defined by specifying dimensions in the x-y-z
+// directions, as well as a domain bounds. By default the model bounds are
+// defined from the input points, but the user can also manually specify
+// them.
+//
+// This filter has one other unusual capability: it is possible to append
+// data in a sequence of operations to generate a single output. This is
+// useful when you have multiple point clouds (e.g., possibly from multiple
+// acqusition scans) and want to incrementally accumulate all the data.
+// However, the user must be careful to either specify the Bounds or
+// order the input such that the bounds of the first input completely
+// contains all other input data. This is because the geometry and topology
+// of the output sampling volume cannot be changed after the initial Append
+// operation.
+//
+// This algorithm loosely follows the most excellent paper by Curless and
+// Levoy: "A Volumetric Method for Building Complex Models from Range
+// Images." As described in this paper it may produce a signed distance
+// volume that may contain the three data states for each voxel: near
+// surface, empty, or unseen (see vtkExtractSurface for additional
+// information). However, this algorithm has been extended to support
+// different interpolation kernels as follows.
+//
+// (Kernel description TODO including supplied weights.)
+//
+// .SECTION Caveats
+// This class has been threaded with vtkSMPTools. Using TBB or other
+// non-sequential type (set in the CMake variable
+// VTK_SMP_IMPLEMENTATION_TYPE) may improve performance significantly.
+
+// .SECTION See Also
+// vtkExtractSurface vtkImplicitModeller
+
+#ifndef vtkSignedDistance_h
+#define vtkSignedDistance_h
+
+#include "vtkFiltersPointsModule.h" // For export macro
+#include "vtkImageAlgorithm.h"
+
+class vtkPolyData;
+class vtkAbstractPointLocator;
+
+
+class VTKFILTERSPOINTS_EXPORT vtkSignedDistance : public vtkImageAlgorithm
+{
+public:
+ // Description:
+ // Standard methods for instantiating the class, providing type information,
+ // and printing.
+ static vtkSignedDistance *New();
+ vtkTypeMacro(vtkSignedDistance,vtkImageAlgorithm);
+ void PrintSelf(ostream& os, vtkIndent indent);
+
+ // Description:
+ // Set/Get the i-j-k dimensions on which to computer the distance function.
+ vtkGetVectorMacro(Dimensions,int,3);
+ void SetDimensions(int i, int j, int k);
+ void SetDimensions(int dim[3]);
+
+ // Description:
+ // Set / get the region in space in which to perform the sampling. If
+ // not specified, it will be computed automatically.
+ vtkSetVector6Macro(Bounds,double);
+ vtkGetVectorMacro(Bounds,double,6);
+
+ // Description:
+ // Set / get the radius of influence of each point. Smaller values
+ // generally improve performance markedly.
+ vtkSetClampMacro(Radius,double,0.0,VTK_FLOAT_MAX);
+ vtkGetMacro(Radius,double);
+
+ // Description:
+ // Specify a point locator. By default a vtkStaticPointLocator is
+ // used. The locator performs efficient searches to locate points
+ // surrounding a voxel (within the specified radius).
+ void SetLocator(vtkAbstractPointLocator *locator);
+ vtkGetObjectMacro(Locator,vtkAbstractPointLocator);
+
+ // Description:
+ // Initialize the filter for appending data. You must invoke the
+ // StartAppend() method before doing successive Appends(). It's also a
+ // good idea to manually specify the model bounds; otherwise the input
+ // bounds for the data will be used.
+ void StartAppend();
+
+ // Description:
+ // Append a data set to the existing output. To use this function,
+ // you'll have to invoke the StartAppend() method before doing
+ // successive appends. It's also a good idea to specify the model
+ // bounds; otherwise the input model bounds is used. When you've
+ // finished appending, use the EndAppend() method.
+ void Append(vtkPolyData *input);
+
+ // Description:
+ // Method completes the append process.
+ void EndAppend();
+
+ // See the vtkAlgorithm for a desciption of what these do
+ int ProcessRequest(vtkInformation*,
+ vtkInformationVector**,
+ vtkInformationVector*);
+
+protected:
+ vtkSignedDistance();
+ ~vtkSignedDistance();
+
+ int Dimensions[3];
+ double Bounds[6];
+ double Radius;
+ vtkAbstractPointLocator *Locator;
+
+ // Flag tracks whether process needs initialization
+ int Initialized;
+
+ virtual int RequestInformation (vtkInformation *,
+ vtkInformationVector **,
+ vtkInformationVector *);
+ virtual int RequestData (vtkInformation *,
+ vtkInformationVector **, vtkInformationVector *);
+ virtual int FillInputPortInformation(int, vtkInformation*);
+
+private:
+ vtkSignedDistance(const vtkSignedDistance&) VTK_DELETE_FUNCTION;
+ void operator=(const vtkSignedDistance&) VTK_DELETE_FUNCTION;
+
+};
+
+#endif
diff --git a/Filters/Points/vtkStatisticalOutlierRemoval.cxx b/Filters/Points/vtkStatisticalOutlierRemoval.cxx
new file mode 100644
index 00000000000..02a90ab7e62
--- /dev/null
+++ b/Filters/Points/vtkStatisticalOutlierRemoval.cxx
@@ -0,0 +1,347 @@
+/*=========================================================================
+
+ Program: Visualization Toolkit
+ Module: vtkStatisticalOutlierRemoval.cxx
+
+ Copyright (c) Kitware, Inc.
+ All rights reserved.
+ See LICENSE file for details.
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE. See the above copyright notice for more information.
+
+=========================================================================*/
+#include "vtkStatisticalOutlierRemoval.h"
+
+#include "vtkObjectFactory.h"
+#include "vtkAbstractPointLocator.h"
+#include "vtkStaticPointLocator.h"
+#include "vtkPointSet.h"
+#include "vtkPoints.h"
+#include "vtkIdList.h"
+#include "vtkSMPTools.h"
+#include "vtkSMPThreadLocalObject.h"
+#include "vtkMath.h"
+
+vtkStandardNewMacro(vtkStatisticalOutlierRemoval);
+vtkCxxSetObjectMacro(vtkStatisticalOutlierRemoval,Locator,vtkAbstractPointLocator);
+
+//----------------------------------------------------------------------------
+// Helper classes to support efficient computing, and threaded execution.
+namespace {
+
+//----------------------------------------------------------------------------
+// The threaded core of the algorithm (first pass)
+template <typename T>
+struct ComputeMeanDistance
+{
+ const T *Points;
+ vtkAbstractPointLocator *Locator;
+ int SampleSize;
+ float *Distance;
+ double Mean;
+
+ // Don't want to allocate working arrays on every thread invocation. Thread local
+ // storage lots of new/delete.
+ vtkSMPThreadLocalObject<vtkIdList> PIds;
+ vtkSMPThreadLocal<double> ThreadMean;
+ vtkSMPThreadLocal<vtkIdType> ThreadCount;
+
+ ComputeMeanDistance(T *points, vtkAbstractPointLocator *loc, int size, float *d) :
+ Points(points), Locator(loc), SampleSize(size), Distance(d), Mean(0.0)
+ {
+ }
+
+ // Just allocate a little bit of memory to get started.
+ void Initialize()
+ {
+ vtkIdList*& pIds = this->PIds.Local();
+ pIds->Allocate(128); //allocate some memory
+
+ double &threadMean = this->ThreadMean.Local();
+ threadMean = 0.0;
+
+ vtkIdType &threadCount = this->ThreadCount.Local();
+ threadCount = 0;
+ }
+
+ // Compute average distance for each point, plus accumlate summation of
+ // mean distances and count (for averaging in the Reduce() method).
+ void operator() (vtkIdType ptId, vtkIdType endPtId)
+ {
+ const T *px = this->Points + 3*ptId;
+ const T *py;
+ double x[3], y[3];
+ vtkIdList*& pIds = this->PIds.Local();
+ double &threadMean = this->ThreadMean.Local();
+ vtkIdType &threadCount = this->ThreadCount.Local();
+
+ for ( ; ptId < endPtId; ++ptId)
+ {
+ x[0] = static_cast<double>(*px++);
+ x[1] = static_cast<double>(*px++);
+ x[2] = static_cast<double>(*px++);
+
+ // The method FindClosestNPoints will include the current point, so
+ // we increase the sample size by one.
+ this->Locator->FindClosestNPoints(this->SampleSize+1, x, pIds);
+ vtkIdType numPts = pIds->GetNumberOfIds();
+
+ double sum = 0.0;
+ vtkIdType nei;
+ for (int sample=0; sample < numPts; ++sample)
+ {
+ nei = pIds->GetId(sample);
+ if ( nei != ptId ) //exclude ourselves
+ {
+ py = this->Points + 3*nei;
+ y[0] = static_cast<double>(*py++);
+ y[1] = static_cast<double>(*py++);
+ y[2] = static_cast<double>(*py);
+ sum += sqrt( vtkMath::Distance2BetweenPoints(x,y) );
+ }
+ }//sum the lengths of all samples exclusing current point
+
+ // Average the lengths; again exclude ourselves
+ if ( numPts > 0 )
+ {
+ this->Distance[ptId] = sum / static_cast<double>(numPts-1);
+ threadMean += this->Distance[ptId];
+ threadCount++;
+ }
+ else //ignore if no points are found, something bad has happened
+ {
+ this->Distance[ptId] = VTK_FLOAT_MAX; //the effect is to eliminate it
+ }
+ }
+ }
+
+ // Compute the mean by compositing all threads
+ void Reduce()
+ {
+ double mean=0.0;
+ vtkIdType count=0;
+
+ vtkSMPThreadLocal<double>::iterator mItr;
+ vtkSMPThreadLocal<double>::iterator mEnd = this->ThreadMean.end();
+ for ( mItr=this->ThreadMean.begin(); mItr != mEnd; ++mItr )
+ {
+ mean += *mItr;
+ }
+
+ vtkSMPThreadLocal<vtkIdType>::iterator cItr;
+ vtkSMPThreadLocal<vtkIdType>::iterator cEnd = this->ThreadCount.end();
+ for ( cItr=this->ThreadCount.begin(); cItr != cEnd; ++cItr )
+ {
+ count += *cItr;
+ }
+
+ this->Mean = mean / static_cast<double>(count);
+ }
+
+ static void Execute(vtkStatisticalOutlierRemoval *self, vtkIdType numPts,
+ T *points, float *distances, double& mean)
+ {
+ ComputeMeanDistance compute(points, self->GetLocator(),
+ self->GetSampleSize(), distances);
+ vtkSMPTools::For(0, numPts, compute);
+ mean = compute.Mean;
+ }
+
+}; //ComputeMeanDistance
+
+//----------------------------------------------------------------------------
+// Now that the mean is known, compute the standard deviation
+struct ComputeStdDev
+{
+ float *Distances;
+ double Mean;
+ double StdDev;
+ vtkSMPThreadLocal<double> ThreadSigma;
+ vtkSMPThreadLocal<vtkIdType> ThreadCount;
+
+ ComputeStdDev(float *d, double mean) : Distances(d), Mean(mean), StdDev(0.0)
+ {
+ }
+
+ void Initialize()
+ {
+ double &threadSigma = this->ThreadSigma.Local();
+ threadSigma = 0.0;
+
+ vtkIdType &threadCount = this->ThreadCount.Local();
+ threadCount = 0;
+ }
+
+ void operator() (vtkIdType ptId, vtkIdType endPtId)
+ {
+ double &threadSigma = this->ThreadSigma.Local();
+ vtkIdType &threadCount = this->ThreadCount.Local();
+ float d;
+
+ for ( ; ptId < endPtId; ++ptId)
+ {
+ d = this->Distances[ptId];
+ if ( d < VTK_FLOAT_MAX )
+ {
+ threadSigma += (this->Mean - d) * (this->Mean - d);
+ threadCount++;
+ }
+ else
+ {
+ continue; //skip bad point
+ }
+ }
+ }
+
+ void Reduce()
+ {
+ double sigma=0.0;
+ vtkIdType count=0;
+
+ vtkSMPThreadLocal<double>::iterator sItr;
+ vtkSMPThreadLocal<double>::iterator sEnd = this->ThreadSigma.end();
+ for ( sItr=this->ThreadSigma.begin(); sItr != sEnd; ++sItr )
+ {
+ sigma += *sItr;
+ }
+
+ vtkSMPThreadLocal<vtkIdType>::iterator cItr;
+ vtkSMPThreadLocal<vtkIdType>::iterator cEnd = this->ThreadCount.end();
+ for ( cItr=this->ThreadCount.begin(); cItr != cEnd; ++cItr )
+ {
+ count += *cItr;
+ }
+
+ this->StdDev = sqrt( sigma / static_cast<double>(count) );
+ }
+
+ static void Execute(vtkIdType numPts, float *distances,
+ double mean, double& sigma)
+ {
+ ComputeStdDev stdDev(distances, mean);
+ vtkSMPTools::For(0, numPts, stdDev);
+ sigma = stdDev.StdDev;
+ }
+
+}; //ComputeStdDev
+
+//----------------------------------------------------------------------------
+// Statistics are computed, now filter the points
+struct RemoveOutliers
+{
+ double Mean;
+ double Sigma;
+ float *Distances;
+ vtkIdType *PointMap;
+
+ RemoveOutliers(double mean, double sigma, float *distances, vtkIdType *map) :
+ Mean(mean), Sigma(sigma), Distances(distances), PointMap(map)
+ {
+ }
+
+ void operator() (vtkIdType ptId, vtkIdType endPtId)
+ {
+ vtkIdType *map = this->PointMap + ptId;
+ float *d = this->Distances + ptId;
+ double mean=this->Mean, sigma=this->Sigma;
+
+ for ( ; ptId < endPtId; ++ptId)
+ {
+ *map++ = ( fabs(*d++ - mean) <= sigma ? 1 : -1 );
+ }
+ }
+
+ static void Execute(vtkIdType numPts, float *distances, double mean,
+ double sigma, vtkIdType *map)
+ {
+ RemoveOutliers remove(mean, sigma, distances, map);
+ vtkSMPTools::For(0, numPts, remove);
+ }
+
+}; //RemoveOutliers
+
+
+} //anonymous namespace
+
+
+//================= Begin class proper =======================================
+//----------------------------------------------------------------------------
+vtkStatisticalOutlierRemoval::vtkStatisticalOutlierRemoval()
+{
+ this->SampleSize = 25;
+ this->StandardDeviationFactor = 1.0;
+ this->Locator = vtkStaticPointLocator::New();
+
+ this->ComputedMean = 0.0;
+ this->ComputedStandardDeviation = 0.0;
+
+}
+
+//----------------------------------------------------------------------------
+vtkStatisticalOutlierRemoval::~vtkStatisticalOutlierRemoval()
+{
+ this->SetLocator(NULL);
+}
+
+//----------------------------------------------------------------------------
+// Traverse all the input points and gather statistics about average distance
+// between them, and the standard deviation of variation. Then filter points
+// within a specified deviation from the mean.
+int vtkStatisticalOutlierRemoval::FilterPoints(vtkPointSet *input)
+{
+ // Perform the point removal
+ // Start by building the locator
+ if ( !this->Locator )
+ {
+ vtkErrorMacro(<<"Point locator required\n");
+ return 0;
+ }
+ this->Locator->SetDataSet(input);
+ this->Locator->BuildLocator();
+
+ // Compute statistics across the point cloud. Start my computing
+ // mean distance to N closest neighbors.
+ vtkIdType numPts = input->GetNumberOfPoints();
+ float *dist = new float [numPts];
+ void *inPtr = input->GetPoints()->GetVoidPointer(0);
+ double mean=0.0, sigma=0.0;
+ switch (input->GetPoints()->GetDataType())
+ {
+ vtkTemplateMacro(ComputeMeanDistance<VTK_TT>::
+ Execute(this, numPts, (VTK_TT *)inPtr, dist, mean));
+ }
+
+ // At this point the mean distance for each point, and across the point
+ // cloud is known. Now compute global standard deviation.
+ ComputeStdDev::Execute(numPts, dist, mean, sigma);
+
+ // Finally filter the points based on specified deviation range.
+ RemoveOutliers::Execute(numPts, dist, mean,
+ this->StandardDeviationFactor*sigma, this->PointMap);
+
+ // Assign derived variable
+ this->ComputedMean = mean;
+ this->ComputedStandardDeviation = sigma;
+
+ // Clean up
+ delete [] dist;
+
+ return 1;
+}
+
+//----------------------------------------------------------------------------
+void vtkStatisticalOutlierRemoval::PrintSelf(ostream& os, vtkIndent indent)
+{
+ this->Superclass::PrintSelf(os,indent);
+
+ os << indent << "Sample Size: " << this->SampleSize << "\n";
+ os << indent << "Standard Deviation Factor: "
+ << this->StandardDeviationFactor << "\n";
+ os << indent << "Locator: " << this->Locator << "\n";
+
+ os << indent << "Computed Mean: " << this->ComputedMean << "\n";
+ os << indent << "Computed Standard Deviation: "
+ << this->ComputedStandardDeviation << "\n";
+}
diff --git a/Filters/Points/vtkStatisticalOutlierRemoval.h b/Filters/Points/vtkStatisticalOutlierRemoval.h
new file mode 100644
index 00000000000..bdcc3cc7cdf
--- /dev/null
+++ b/Filters/Points/vtkStatisticalOutlierRemoval.h
@@ -0,0 +1,123 @@
+/*=========================================================================
+
+ Program: Visualization Toolkit
+ Module: vtkStatisticalOutlierRemoval.h
+
+ Copyright (c) Kitware, Inc.
+ All rights reserved.
+ See LICENSE file for details.
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE. See the above copyright notice for more information.
+
+=========================================================================*/
+// .NAME vtkStatisticalOutlierRemoval - remove sparse outlier points
+
+// .SECTION Description
+// The vtkStatisticalOutlierRemoval filter removes sparse outlier points
+// through statistical analysis. The average (mean) distance between points
+// in the point cloud is computed (taking a local sample size around each
+// point); followed by computation of the global standard deviation of
+// distances between points. This global, statistical information is compared
+// against the mean separation distance for each point; those points whose
+// average separation is greater than the user-specified variation in
+// a multiple of standard deviation are removed.
+//
+// Note that while any vtkPointSet type can be provided as input, the output is
+// represented by an explicit representation of points via a
+// vtkPolyData. This output polydata will populate its instance of vtkPoints,
+// but no cells will be defined (i.e., no vtkVertex or vtkPolyVertex are
+// contained in the output). Also, after filter execution, the user can
+// request a vtkIdType* map which indicates how the input points were mapped
+// to the output. A value of map[i] (where i is the ith input point) less
+// than 0 means that the ith input point was removed. (See also the
+// superclass documentation for accessing the removed points through the
+// filter's second output.)
+
+// .SECTION Caveats
+// This class has been threaded with vtkSMPTools. Using TBB or other
+// non-sequential type (set in the CMake variable
+// VTK_SMP_IMPLEMENTATION_TYPE) may improve performance significantly.
+
+// .SECTION See Also
+// vtkPointCloudFilter vtkRadiusOutlierRemoval vtkExtractPoints
+// vtkThresholdPoints
+
+#ifndef vtkStatisticalOutlierRemoval_h
+#define vtkStatisticalOutlierRemoval_h
+
+#include "vtkFiltersPointsModule.h" // For export macro
+#include "vtkPointCloudFilter.h"
+
+class vtkAbstractPointLocator;
+class vtkPointSet;
+
+
+class VTKFILTERSPOINTS_EXPORT vtkStatisticalOutlierRemoval : public vtkPointCloudFilter
+{
+public:
+ // Description:
+ // Standard methods for instantiating, obtaining type information, and
+ // printing information.
+ static vtkStatisticalOutlierRemoval *New();
+ vtkTypeMacro(vtkStatisticalOutlierRemoval,vtkPointCloudFilter);
+ void PrintSelf(ostream& os, vtkIndent indent);
+
+ // Description:
+ // For each point sampled, specify the number of the closest, surrounding
+ // points used to compute statistics. By default 25 points are used. Smaller
+ // numbers may speed performance.
+ vtkSetClampMacro(SampleSize,int,1,VTK_INT_MAX);
+ vtkGetMacro(SampleSize,int);
+
+ // Description:
+ // The filter uses this specified standard deviation factor to extract
+ // points. By default, points within 1.0 standard deviations (i.e., a
+ // StandardDeviationFactor=1.0) of the mean distance to neighboring
+ // points are retained.
+ vtkSetClampMacro(StandardDeviationFactor,double,0.0,VTK_FLOAT_MAX);
+ vtkGetMacro(StandardDeviationFactor,double);
+
+ // Description:
+ // Specify a point locator. By default a vtkStaticPointLocator is
+ // used. The locator performs efficient searches to locate points
+ // surroinding a sample point.
+ void SetLocator(vtkAbstractPointLocator *locator);
+ vtkGetObjectMacro(Locator,vtkAbstractPointLocator);
+
+ // Description:
+ // After execution, return the value of the computed mean. Before execution
+ // the value returned is invalid.
+ vtkSetClampMacro(ComputedMean,double,0.0,VTK_FLOAT_MAX);
+ vtkGetMacro(ComputedMean,double);
+
+ // Description:
+ // After execution, return the value of the computed sigma (standard
+ // deviation). Before execution the value returned is invalid.
+ vtkSetClampMacro(ComputedStandardDeviation,double,0.0,VTK_FLOAT_MAX);
+ vtkGetMacro(ComputedStandardDeviation,double);
+
+protected:
+ vtkStatisticalOutlierRemoval();
+ ~vtkStatisticalOutlierRemoval();
+
+ int SampleSize;
+ double StandardDeviationFactor;
+ vtkAbstractPointLocator *Locator;
+
+ // Derived quantities
+ double ComputedMean;
+ double ComputedStandardDeviation;
+
+ // All derived classes must implement this method. Note that a side effect of
+ // the class is to populate the PointMap. Zero is returned if there is a failure.
+ virtual int FilterPoints(vtkPointSet *input);
+
+private:
+ vtkStatisticalOutlierRemoval(const vtkStatisticalOutlierRemoval&) VTK_DELETE_FUNCTION;
+ void operator=(const vtkStatisticalOutlierRemoval&) VTK_DELETE_FUNCTION;
+
+};
+
+#endif
diff --git a/Filters/Points/vtkVoxelGrid.cxx b/Filters/Points/vtkVoxelGrid.cxx
new file mode 100644
index 00000000000..5951bc7ea74
--- /dev/null
+++ b/Filters/Points/vtkVoxelGrid.cxx
@@ -0,0 +1,299 @@
+/*=========================================================================
+
+ Program: Visualization Toolkit
+ Module: vtkVoxelGrid.cxx
+
+ Copyright (c) Kitware, Inc.
+ All rights reserved.
+ See LICENSE file for details.
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE. See the above copyright notice for more information.
+
+=========================================================================*/
+#include "vtkVoxelGrid.h"
+
+#include "vtkObjectFactory.h"
+#include "vtkDoubleArray.h"
+#include "vtkPointSet.h"
+#include "vtkPointData.h"
+#include "vtkPoints.h"
+#include "vtkStaticPointLocator.h"
+#include "vtkLinearKernel.h"
+#include "vtkInformation.h"
+#include "vtkInformationVector.h"
+#include "vtkStreamingDemandDrivenPipeline.h"
+#include "vtkSMPTools.h"
+#include "vtkSMPThreadLocalObject.h"
+#include "vtkArrayListTemplate.h" // For processing attribute data
+
+
+vtkStandardNewMacro(vtkVoxelGrid);
+vtkCxxSetObjectMacro(vtkVoxelGrid,Kernel,vtkInterpolationKernel);
+
+//----------------------------------------------------------------------------
+// Helper classes to support efficient computing, and threaded execution.
+namespace {
+
+//----------------------------------------------------------------------------
+// The threaded core of the algorithm (first pass)
+template <typename T>
+struct Subsample
+{
+ T *InPoints;
+ vtkStaticPointLocator *Locator;
+ vtkInterpolationKernel *Kernel;
+ const vtkIdType *BinMap;
+ ArrayList Arrays;
+ T *OutPoints;
+
+ // Don't want to allocate working arrays on every thread invocation. Thread local
+ // storage prevents lots of new/delete.
+ vtkSMPThreadLocalObject<vtkIdList> PIds;
+ vtkSMPThreadLocalObject<vtkDoubleArray> Weights;
+
+ Subsample(T* inPts, vtkPointData *inPD, vtkPointData *outPD,
+ vtkStaticPointLocator *loc, vtkInterpolationKernel *k,
+ vtkIdType nBins, vtkIdType *binMap, T *outPts) :
+ InPoints(inPts), Locator(loc), Kernel(k), BinMap(binMap), OutPoints(outPts)
+ {
+ this->Arrays.AddArrays(nBins, inPD, outPD);
+ }
+
+ // Just allocate a little bit of memory to get started.
+ void Initialize()
+ {
+ vtkIdList*& pIds = this->PIds.Local();
+ pIds->Allocate(128); //allocate some memory
+ vtkDoubleArray*& weights = this->Weights.Local();
+ weights->Allocate(128);
+ }
+
+ void operator() (vtkIdType binId, vtkIdType endBinId)
+ {
+ T *px;
+ T *py = this->OutPoints + 3*binId;
+ const vtkIdType *map = this->BinMap;
+ vtkIdList*& pIds = this->PIds.Local();
+ vtkIdType numWeights;
+ vtkDoubleArray*& weights = this->Weights.Local();
+ double y[3], count;
+ vtkIdType numIds, id;
+ vtkStaticPointLocator *loc = this->Locator;
+
+ for ( ; binId < endBinId; ++binId )
+ {
+ if ( map[binId] >= 0 )
+ {
+ y[0] = y[1] = y[2] = 0.0;
+ loc->GetBucketIds(binId,pIds);
+ numIds = pIds->GetNumberOfIds();
+ for (id=0; id < numIds; ++id)
+ {
+ px = this->InPoints + 3*pIds->GetId(id);
+ y[0] += *px++;
+ y[1] += *px++;
+ y[2] += *px;
+ }
+ count = static_cast<double>(numIds);
+ y[0] /= count;
+ y[1] /= count;
+ y[2] /= count;
+ *py++ = y[0];
+ *py++ = y[1];
+ *py++ = y[2];
+
+ // Now interpolate attributes
+ numWeights = this->Kernel->ComputeWeights(y, pIds, weights);
+ this->Arrays.Interpolate(numWeights, pIds->GetPointer(0),
+ weights->GetPointer(0), binId);
+ }// if occupied bin
+ }//for all bins in this batch
+ }
+
+ void Reduce()
+ {
+ }
+
+ static void Execute(T *inPts, vtkPointData *inPD, vtkPointData *outPD,
+ vtkStaticPointLocator *loc, vtkInterpolationKernel *k,
+ vtkIdType numBins, vtkIdType *binMap, T *outPts)
+ {
+ Subsample subsample(inPts, inPD, outPD, loc, k, numBins, binMap, outPts);
+ vtkSMPTools::For(0, numBins, subsample);
+ }
+
+}; //Subsample
+
+} //anonymous namespace
+
+
+//================= Begin class proper =======================================
+//----------------------------------------------------------------------------
+vtkVoxelGrid::vtkVoxelGrid()
+{
+ this->Locator = vtkStaticPointLocator::New();
+ this->ConfigurationStyle = vtkVoxelGrid::AUTOMATIC;
+
+ this->Divisions[0] = this->Divisions[1] = this->Divisions[2] = 50;
+ this->LeafSize[0] = this->LeafSize[1] = this->LeafSize[2] = 1.0;
+ this->NumberOfPointsPerBin = 10;
+
+ this->Kernel = vtkLinearKernel::New();
+}
+
+//----------------------------------------------------------------------------
+vtkVoxelGrid::~vtkVoxelGrid()
+{
+ this->Locator->Delete();
+ this->SetKernel(NULL);
+}
+
+//----------------------------------------------------------------------------
+// Produce the output data
+int vtkVoxelGrid::RequestData(
+ vtkInformation *vtkNotUsed(request),
+ vtkInformationVector **inputVector,
+ vtkInformationVector *outputVector)
+{
+ // get the info objects
+ vtkInformation *inInfo = inputVector[0]->GetInformationObject(0);
+ vtkInformation *outInfo = outputVector->GetInformationObject(0);
+
+ // get the input and output
+ vtkPointSet *input = vtkPointSet::SafeDownCast(
+ inInfo->Get(vtkDataObject::DATA_OBJECT()));
+ vtkPolyData *output = vtkPolyData::SafeDownCast(
+ outInfo->Get(vtkDataObject::DATA_OBJECT()));
+
+ // Check the input
+ if ( !input || !output )
+ {
+ return 1;
+ }
+ vtkIdType numPts = input->GetNumberOfPoints();
+ if ( numPts < 1 )
+ {
+ return 1;
+ }
+
+ // Make sure there is a kernel
+ if ( !this->Kernel )
+ {
+ vtkErrorMacro(<<"Interpolation kernel required\n");
+ return 1;
+ }
+
+ bool valid = 1;
+ if ( this->LeafSize[0] <= 0.0 || this->LeafSize[1] <= 0.0 || this->LeafSize[2] <= 0.0 ||
+ this->Divisions[0] < 1 || this->Divisions[1] < 1 || this->Divisions[2] < 1 )
+ {
+ valid = false;
+ }
+
+ // Configure and build the locator
+ if ( valid && this->ConfigurationStyle == vtkVoxelGrid::MANUAL )
+ {
+ this->Locator->AutomaticOff();
+ this->Locator->SetDivisions(this->Divisions);
+ }
+ else if ( valid && this->ConfigurationStyle == vtkVoxelGrid::SPECIFY_LEAF_SIZE )
+ {
+ double bounds[6];
+ int divs[3];
+ this->Locator->AutomaticOff();
+ input->GetBounds(bounds);
+ divs[0] = (bounds[1]-bounds[0]) / this->LeafSize[0];
+ divs[1] = (bounds[3]-bounds[2]) / this->LeafSize[1];
+ divs[2] = (bounds[5]-bounds[4]) / this->LeafSize[2];
+ this->Locator->SetDivisions(divs);
+ }
+ else // this->ConfigurationStyle == vtkVoxelGrid::AUTOMATIC
+ {
+ this->Locator->AutomaticOn();
+ this->Locator->SetNumberOfPointsPerBucket(this->NumberOfPointsPerBin);
+ }
+ this->Locator->SetDataSet(input);
+ this->Locator->BuildLocator();
+
+ // Run through the locator and compute the number of output points,
+ // and build a map of the bin number to output point. This is a prefix sum.
+ vtkIdType numOutPts=0;
+ vtkIdType binNum, numBins = this->Locator->GetNumberOfBuckets();
+ vtkIdType *binMap = new vtkIdType [numBins];
+ for ( binNum=0; binNum < numBins; ++binNum )
+ {
+ if ( this->Locator->GetNumberOfPointsInBucket(binNum) > 0 )
+ {
+ binMap[binNum] = numOutPts++;
+ }
+ else
+ {
+ binMap[binNum] = -1;
+ }
+ }
+
+ // Grab the point data for interpolation
+ vtkPointData *inPD = input->GetPointData();
+ vtkPointData *outPD = output->GetPointData();
+ outPD->InterpolateAllocate(inPD,numBins);
+
+ // Finally run over all of the bins, and those that are not emoty are
+ // processed. The processing consists of averaging all of the points found
+ // in the bin, and setting the average point position in the output points.
+ vtkPoints *points = input->GetPoints()->NewInstance();
+ points->SetDataType(input->GetPoints()->GetDataType());
+ points->SetNumberOfPoints(numOutPts);
+ output->SetPoints(points);
+
+ void *inPtr = input->GetPoints()->GetVoidPointer(0);
+ void *outPtr = output->GetPoints()->GetVoidPointer(0);
+ switch (output->GetPoints()->GetDataType())
+ {
+ vtkTemplateMacro(Subsample<VTK_TT>::Execute((VTK_TT *)inPtr, inPD, outPD,
+ this->Locator, this->Kernel, numBins, binMap, (VTK_TT *)outPtr));
+ }
+
+ // Send attributes to output
+ int numPtArrays = input->GetPointData()->GetNumberOfArrays();
+ for (int i=0; i<numPtArrays; ++i)
+ {
+ output->GetPointData()->AddArray(input->GetPointData()->GetArray(i));
+ }
+
+ // Clean up
+ points->Delete();
+ delete [] binMap;
+
+ return 1;
+}
+
+//----------------------------------------------------------------------------
+int vtkVoxelGrid::
+FillInputPortInformation(int, vtkInformation *info)
+{
+ info->Set(vtkAlgorithm::INPUT_REQUIRED_DATA_TYPE(), "vtkPointSet");
+ return 1;
+}
+
+//----------------------------------------------------------------------------
+void vtkVoxelGrid::PrintSelf(ostream& os, vtkIndent indent)
+{
+ this->Superclass::PrintSelf(os,indent);
+
+ os << indent << "Configuration Style: " << this->ConfigurationStyle << endl;
+
+ os << indent << "Divisions: ("
+ << this->Divisions[0] << ","
+ << this->Divisions[1] << ","
+ << this->Divisions[2] << ")\n";
+
+ os << indent << "Leaf Size: ("
+ << this->LeafSize[0] << ","
+ << this->LeafSize[1] << ","
+ << this->LeafSize[2] << ")\n";
+
+ os << indent << "Number of Points Per Bin: "
+ << this->NumberOfPointsPerBin << endl;
+}
diff --git a/Filters/Points/vtkVoxelGrid.h b/Filters/Points/vtkVoxelGrid.h
new file mode 100644
index 00000000000..c0356504b1d
--- /dev/null
+++ b/Filters/Points/vtkVoxelGrid.h
@@ -0,0 +1,141 @@
+/*=========================================================================
+
+ Program: Visualization Toolkit
+ Module: vtkVoxelGrid.h
+
+ Copyright (c) Kitware, Inc.
+ All rights reserved.
+ See LICENSE file for details.
+
+ This software is distributed WITHOUT ANY WARRANTY; without even
+ the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
+ PURPOSE. See the above copyright notice for more information.
+
+=========================================================================*/
+// .NAME vtkVoxelGrid - subsample points using uniform binning
+
+// .SECTION Description
+// vtkVoxelGrid is a filter that subsamples a point cloud based on a regular
+// binning of space. Basically the algorithm operates by dividing space into
+// a volume of M x N x O bins, and then for each bin averaging all of the
+// points positions into a single representive point. Several strategies for
+// computing the binning can be used: 1) manual configuration of a requiring
+// specifying bin dimensions (the bounds are calculated from the data); 2) by
+// explicit specification of the bin size in world coordinates (x-y-z
+// lengths); and 3) an automatic process in which the user specifies an
+// approximate, average number of points per bin and dimensions and bin size
+// are computed automatically. (Note that under the hood a
+// vtkStaticPointLocator is used.)
+//
+// While any vtkPointSet type can be provided as input, the output is
+// represented by an explicit representation of points via a
+// vtkPolyData. This output polydata will populate its instance of vtkPoints,
+// but no cells will be defined (i.e., no vtkVertex or vtkPolyVertex are
+// contained in the output).
+
+// .SECTION Caveats
+// This class has been threaded with vtkSMPTools. Using TBB or other
+// non-sequential type (set in the CMake variable
+// VTK_SMP_IMPLEMENTATION_TYPE) may improve performance significantly.
+
+// .SECTION See Also
+// vtkStaticPointLocator vtkPointCloudFilter vtkQuadricClustering
+
+#ifndef vtkVoxelGrid_h
+#define vtkVoxelGrid_h
+
+#include "vtkFiltersPointsModule.h" // For export macro
+#include "vtkPolyDataAlgorithm.h"
+
+class vtkStaticPointLocator;
+class vtkInterpolationKernel;
+
+
+class VTKFILTERSPOINTS_EXPORT vtkVoxelGrid : public vtkPolyDataAlgorithm
+{
+public:
+ // Description:
+ // Standard methods for instantiating, obtaining type information, and
+ // printing information.
+ static vtkVoxelGrid *New();
+ vtkTypeMacro(vtkVoxelGrid,vtkPolyDataAlgorithm);
+ void PrintSelf(ostream& os, vtkIndent indent);
+
+ // Description:
+ // This enum is used to configure the operation of the filter.
+ enum Style
+ {
+ MANUAL=0,
+ SPECIFY_LEAF_SIZE=1,
+ AUTOMATIC=2
+ };
+
+ // Description:
+ // Configure how the filter is to operate. The user can choose to manually
+ // specify the binning volume (by setting its dimensions via MANUAL style); or
+ // specify a leaf bin size in the x-y-z directions (SPECIFY_LEAF_SIZE); or
+ // in AUTOMATIC style, use a rough average number of points in each bin
+ // guide the bin size and binning volume dimensions. By default, AUTOMATIC
+ // configuration style is used.
+ vtkSetMacro(ConfigurationStyle,int);
+ vtkGetMacro(ConfigurationStyle,int);
+ void SetConfigurationStyleToManual()
+ { this->SetConfigurationStyle(MANUAL); }
+ void SetConfigurationStyleToLeafSize()
+ { this->SetConfigurationStyle(SPECIFY_LEAF_SIZE); }
+ void SetConfigurationStyleToAutomatic()
+ { this->SetConfigurationStyle(AUTOMATIC); }
+
+ // Description:
+ // Set the number of divisions in x-y-z directions (the binning volume
+ // dimensions). This data member is used when the configuration style is
+ // set to MANUAL.
+ vtkSetVector3Macro(Divisions,int);
+ vtkGetVectorMacro(Divisions,int,3);
+
+ // Description:
+ // Set the bin size in the x-y-z directions. This data member is
+ // used when the configuration style is set to SPECIFY_LEAF_SIZE. The class will
+ // use these x-y-z lengths, within the bounding box of the point cloud,
+ // to determine the binning dimensions.
+ vtkSetVector3Macro(LeafSize,double);
+ vtkGetVectorMacro(LeafSize,double,3);
+
+ // Description:
+ // Specify the average number of points in each bin. Larger values
+ // result in higher rates of subsampling. This data member is used when the
+ // configuration style is set to AUTOMATIC. The class will automatically
+ // determine the binning dimensions in the x-y-z directions.
+ vtkSetClampMacro(NumberOfPointsPerBin,int,1,VTK_INT_MAX);
+ vtkGetMacro(NumberOfPointsPerBin,int);
+
+ // Description:
+ // Specify an interpolation kernel to combine the point attributes. By
+ // default a vtkLinearKernel is used (i.e., average values). The
+ // interpolation kernel changes the basis of the interpolation.
+ void SetKernel(vtkInterpolationKernel *kernel);
+ vtkGetObjectMacro(Kernel,vtkInterpolationKernel);
+
+protected:
+ vtkVoxelGrid();
+ ~vtkVoxelGrid();
+
+ vtkStaticPointLocator *Locator;
+ int ConfigurationStyle;
+
+ int Divisions[3];
+ double LeafSize[3];
+ int NumberOfPointsPerBin;
+ vtkInterpolationKernel *Kernel;
+
+ virtual int RequestData(vtkInformation *, vtkInformationVector **,
+ vtkInformationVector *);
+ virtual int FillInputPortInformation(int port, vtkInformation *info);
+
+private:
+ vtkVoxelGrid(const vtkVoxelGrid&) VTK_DELETE_FUNCTION;
+ void operator=(const vtkVoxelGrid&) VTK_DELETE_FUNCTION;
+
+};
+
+#endif
diff --git a/Remote/point-cloud.remote.cmake b/Remote/point-cloud.remote.cmake
deleted file mode 100644
index 502b6a50e39..00000000000
--- a/Remote/point-cloud.remote.cmake
+++ /dev/null
@@ -1,10 +0,0 @@
-#
-# vtkPointCloud - specialized filters for processing point clouds
-# GIT_REPOSITORY git@gitlab.kitware.com:vtk/point-cloud.git
-
-
-vtk_fetch_module(vtkPointCloud
- "Point Cloud processing in VTK"
- GIT_REPOSITORY https://gitlab.kitware.com/vtk/point-cloud.git
- GIT_TAG master
- )
--
GitLab