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110 lines
3.8 KiB
C
110 lines
3.8 KiB
C
3 weeks ago
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/*=========================================================================
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Program: Visualization Toolkit
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Module: vtkPCACurvatureEstimation.h
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Copyright (c) Kitware, Inc.
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All rights reserved.
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See LICENSE file for details.
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This software is distributed WITHOUT ANY WARRANTY; without even
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the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
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PURPOSE. See the above copyright notice for more information.
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=========================================================================*/
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/**
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* @class vtkPCACurvatureEstimation
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* @brief generate curvature estimates using
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* principal component analysis
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*
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*
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* vtkPCACurvatureEstimation generates point normals using PCA (principal
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* component analysis). Basically this estimates a local tangent plane
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* around sample point p by considering a small neighborhood of points
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* around p, and fitting a plane to the neighborhood (via PCA). A good
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* introductory reference is Hoppe's "Surface reconstruction from
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* unorganized points."
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*
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* To use this filter, specify a neighborhood size. This may have to be set
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* via experimentation. Optionally a point locator can be specified (instead
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* of the default locator), which is used to accelerate searches around a
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* sample point. Finally, the user should specify how to generate
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* consistently-oriented normals. As computed by PCA, normals may point in
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* +/- orientation, which may not be consistent with neighboring normals.
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*
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* The output of this filter is the same as the input except that a normal
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* per point is produced. (Note that these are unit normals.) While any
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* vtkPointSet type can be provided as input, the output is represented by an
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* explicit representation of points via a vtkPolyData. This output polydata
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* will populate its instance of vtkPoints, but no cells will be defined
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* (i.e., no vtkVertex or vtkPolyVertex are contained in the output).
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*
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* @warning
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* This class has been threaded with vtkSMPTools. Using TBB or other
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* non-sequential type (set in the CMake variable
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* VTK_SMP_IMPLEMENTATION_TYPE) may improve performance significantly.
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*
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* @sa
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* vtkPCANormalEstimation
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*/
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#ifndef vtkPCACurvatureEstimation_h
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#define vtkPCACurvatureEstimation_h
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#include "vtkFiltersPointsModule.h" // For export macro
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#include "vtkPolyDataAlgorithm.h"
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class vtkAbstractPointLocator;
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class VTKFILTERSPOINTS_EXPORT vtkPCACurvatureEstimation : public vtkPolyDataAlgorithm
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{
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public:
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//@{
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/**
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* Standard methods for instantiating, obtaining type information, and
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* printing information.
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*/
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static vtkPCACurvatureEstimation* New();
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vtkTypeMacro(vtkPCACurvatureEstimation, vtkPolyDataAlgorithm);
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void PrintSelf(ostream& os, vtkIndent indent) override;
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//@}
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//@{
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/**
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* For each sampled point, specify the number of the closest, surrounding
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* points used to estimate the normal (the so called k-neighborhood). By
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* default 25 points are used. Smaller numbers may speed performance at the
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* cost of accuracy.
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*/
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vtkSetClampMacro(SampleSize, int, 1, VTK_INT_MAX);
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vtkGetMacro(SampleSize, int);
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//@}
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//@{
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/**
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* Specify a point locator. By default a vtkStaticPointLocator is
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* used. The locator performs efficient searches to locate points
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* around a sample point.
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*/
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void SetLocator(vtkAbstractPointLocator* locator);
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vtkGetObjectMacro(Locator, vtkAbstractPointLocator);
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//@}
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protected:
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vtkPCACurvatureEstimation();
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~vtkPCACurvatureEstimation() override;
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// IVars
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int SampleSize;
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vtkAbstractPointLocator* Locator;
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int RequestData(vtkInformation*, vtkInformationVector**, vtkInformationVector*) override;
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int FillInputPortInformation(int port, vtkInformation* info) override;
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private:
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vtkPCACurvatureEstimation(const vtkPCACurvatureEstimation&) = delete;
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void operator=(const vtkPCACurvatureEstimation&) = delete;
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};
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#endif
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