ShepardMethod
VTKEx/Cxx/Utilities/ShepardMethod
Description¶
This example samples unstructured points onto structured points using the Shepard method. The example starts with two points which have associated scalars (0 (black) and 1(white)). The results are displayed by coloring planes between the two points with the corresponding interpolated values. The values are reflected by black (0) to white (1).
Question
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Code¶
ShepardMethod.cxx
#include <vtkActor.h>
#include <vtkCamera.h>
#include <vtkCellArray.h>
#include <vtkColorTransferFunction.h>
#include <vtkContourFilter.h>
#include <vtkFloatArray.h>
#include <vtkPointData.h>
#include <vtkPolyDataMapper.h>
#include <vtkProperty.h>
#include <vtkRenderer.h>
#include <vtkRenderWindow.h>
#include <vtkRenderWindowInteractor.h>
#include <vtkShepardMethod.h>
#include <vtkSmartPointer.h>
#include <vtkUnsignedCharArray.h>
#include <vtkVertexGlyphFilter.h>
// For compatibility with new VTK generic data arrays
#ifdef vtkGenericDataArray_h
#define InsertNextTupleValue InsertNextTypedTuple
#endif
int main(int, char *[])
{
// Create a set of vertices (polydata)
vtkSmartPointer<vtkPoints> points =
vtkSmartPointer<vtkPoints>::New();
points->InsertNextPoint(100.0, 0.0, 0.0);
points->InsertNextPoint(300.0, 0.0, 0.0);
// Setup colors
unsigned char white[3] = {255, 255, 255};
unsigned char black[3] = {0, 0, 0};
vtkSmartPointer<vtkUnsignedCharArray> vertexColors =
vtkSmartPointer<vtkUnsignedCharArray>::New();
vertexColors->SetNumberOfComponents(3);
vertexColors->SetName("Colors");
vertexColors->InsertNextTupleValue(black);
vertexColors->InsertNextTupleValue(white);
// Create a scalar array for the pointdata, each value represents the distance
// of the vertices from the first vertex
vtkSmartPointer<vtkFloatArray> values =
vtkSmartPointer<vtkFloatArray>::New();
values->SetNumberOfComponents(1);
values->SetName("Values");
values->InsertNextValue(0.0);
values->InsertNextValue(1.0);
// We must make two objects, because the ShepardMethod uses the ActiveScalars, as does the renderer!
vtkSmartPointer<vtkPolyData> polydataToProcess =
vtkSmartPointer<vtkPolyData>::New();
polydataToProcess->SetPoints(points);
polydataToProcess->GetPointData()->SetScalars(values);
vtkSmartPointer<vtkPolyData> polydataToVisualize =
vtkSmartPointer<vtkPolyData>::New();
polydataToVisualize->SetPoints(points);
polydataToVisualize->GetPointData()->SetScalars(vertexColors);
vtkSmartPointer<vtkVertexGlyphFilter> vertexGlyphFilter =
vtkSmartPointer<vtkVertexGlyphFilter>::New();
vertexGlyphFilter->AddInputData(polydataToVisualize);
vertexGlyphFilter->Update();
//Create a mapper and actor
vtkSmartPointer<vtkPolyDataMapper> vertsMapper =
vtkSmartPointer<vtkPolyDataMapper>::New();
//vertsMapper->ScalarVisibilityOff();
vertsMapper->SetInputConnection(vertexGlyphFilter->GetOutputPort());
vtkSmartPointer<vtkActor> vertsActor =
vtkSmartPointer<vtkActor>::New();
vertsActor->SetMapper(vertsMapper);
vertsActor->GetProperty()->SetColor(1,0,0);
vertsActor->GetProperty()->SetPointSize(3);
// Create a shepard filter to interpolate the vertices over a regularized image grid
vtkSmartPointer<vtkShepardMethod> shepard = vtkSmartPointer<vtkShepardMethod>::New();
shepard->SetInputData(polydataToProcess);
shepard->SetSampleDimensions(2,2,2);
shepard->SetModelBounds(100,300,-10,10,-10,10);
shepard->SetMaximumDistance(1);
// Contour the shepard generated image at 3 isovalues
// The accuracy of the results are highly dependent on how the shepard filter is set up
vtkSmartPointer<vtkContourFilter> contourFilter = vtkSmartPointer<vtkContourFilter>::New();
contourFilter->SetNumberOfContours(3);
contourFilter->SetValue(0, 0.25);
contourFilter->SetValue(1, 0.50);
contourFilter->SetValue(2, 0.75);
contourFilter->SetInputConnection(shepard->GetOutputPort());
contourFilter->Update();
//Create a mapper and actor for the resulting isosurfaces
vtkSmartPointer<vtkPolyDataMapper> contourMapper =
vtkSmartPointer<vtkPolyDataMapper>::New();
contourMapper->SetInputConnection(contourFilter->GetOutputPort());
contourMapper->ScalarVisibilityOn();
contourMapper->SetColorModeToMapScalars();
vtkSmartPointer<vtkActor> contourActor =
vtkSmartPointer<vtkActor>::New();
contourActor->SetMapper(contourMapper);
contourActor->GetProperty()->SetAmbient(1);
contourActor->GetProperty()->SetSpecular(0);
contourActor->GetProperty()->SetDiffuse(0);
// Report the results of the interpolation
double *range = contourFilter->GetOutput()->GetScalarRange();
std::cout << "Shepard interpolation:" << std::endl;
std::cout << "contour output scalar range: " << range[0] << ", " << range[1] << std::endl;
vtkIdType nCells = contourFilter->GetOutput()->GetNumberOfCells();
double bounds[6];
for( vtkIdType i = 0; i < nCells; ++i )
{
if(i%2) // each isosurface value only has 2 cells to report on the odd ones
{
contourFilter->GetOutput()->GetCellBounds(i,bounds);
std::cout << "cell " << i << ", x position: " << bounds[0] << std::endl;
}
}
// Create a transfer function to color the isosurfaces
vtkSmartPointer<vtkColorTransferFunction> lut =
vtkSmartPointer<vtkColorTransferFunction>::New();
lut->SetColorSpaceToRGB();
lut->AddRGBPoint(range[0],0,0,0);//black
lut->AddRGBPoint(range[1],1,1,1);//white
lut->SetScaleToLinear();
contourMapper->SetLookupTable( lut );
// Create a renderer, render window and interactor
vtkSmartPointer<vtkRenderer> renderer =
vtkSmartPointer<vtkRenderer>::New();
renderer->GradientBackgroundOn();
renderer->SetBackground(0,0,1);
renderer->SetBackground2(1,0,1);
vtkSmartPointer<vtkRenderWindow> renderWindow =
vtkSmartPointer<vtkRenderWindow>::New();
renderWindow->AddRenderer(renderer);
renderer->AddActor(contourActor);
renderer->AddActor(vertsActor);
vtkSmartPointer<vtkRenderWindowInteractor> renderWindowInteractor =
vtkSmartPointer<vtkRenderWindowInteractor>::New();
renderWindowInteractor->SetRenderWindow(renderWindow);
// Position the camera so that the image produced is viewable
vtkCamera* camera = renderer->GetActiveCamera();
camera->SetPosition(450, 100, 100);
camera->SetFocalPoint(200, 0, 0);
camera->SetViewUp(0, 0, 1);
renderWindow->Render();
renderWindowInteractor->Start();
return EXIT_SUCCESS;
}
CMakeLists.txt¶
cmake_minimum_required(VERSION 3.3 FATAL_ERROR)
project(ShepardMethod)
find_package(VTK COMPONENTS
vtkvtkCommonCore
vtkvtkCommonDataModel
vtkvtkFiltersCore
vtkvtkFiltersGeneral
vtkvtkImagingHybrid
vtkvtkInteractionStyle
vtkvtkRenderingContextOpenGL2
vtkvtkRenderingCore
vtkvtkRenderingFreeType
vtkvtkRenderingGL2PSOpenGL2
vtkvtkRenderingOpenGL2 QUIET)
if (NOT VTK_FOUND)
message("Skipping ShepardMethod: ${VTK_NOT_FOUND_MESSAGE}")
return ()
endif()
message (STATUS "VTK_VERSION: ${VTK_VERSION}")
if (VTK_VERSION VERSION_LESS "8.90.0")
# old system
include(${VTK_USE_FILE})
add_executable(ShepardMethod MACOSX_BUNDLE ShepardMethod.cxx )
target_link_libraries(ShepardMethod PRIVATE ${VTK_LIBRARIES})
else ()
# include all components
add_executable(ShepardMethod MACOSX_BUNDLE ShepardMethod.cxx )
target_link_libraries(ShepardMethod PRIVATE ${VTK_LIBRARIES})
# vtk_module_autoinit is needed
vtk_module_autoinit(
TARGETS ShepardMethod
MODULES ${VTK_LIBRARIES}
)
endif ()
Download and Build ShepardMethod¶
Click here to download ShepardMethod and its CMakeLists.txt file. Once the tarball ShepardMethod.tar has been downloaded and extracted,
cd ShepardMethod/build
If VTK is installed:
cmake ..
If VTK is not installed but compiled on your system, you will need to specify the path to your VTK build:
cmake -DVTK_DIR:PATH=/home/me/vtk_build ..
Build the project:
make
and run it:
./ShepardMethod
WINDOWS USERS
Be sure to add the VTK bin directory to your path. This will resolve the VTK dll's at run time.