# ShepardMethod

VTKExamples/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).

### 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 <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);

      renderWindowInteractor->Start();

      return EXIT_SUCCESS;
    }

### CMakeLists.txt

    cmake_minimum_required(VERSION 2.8)

    PROJECT(ShepardMethod)

    find_package(VTK REQUIRED)
    include(${VTK_USE_FILE})

    add_executable(ShepardMethod MACOSX_BUNDLE ShepardMethod.cxx )

    target_link_libraries(ShepardMethod ${VTK_LIBRARIES})

### 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.