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228 lines
6.6 KiB
C++
228 lines
6.6 KiB
C++
/*=========================================================================
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Program: Visualization Toolkit
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Module: vtkIterativeClosestPointTransform.h
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Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen
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All rights reserved.
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See Copyright.txt or http://www.kitware.com/Copyright.htm 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 vtkIterativeClosestPointTransform
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* @brief Implementation of the ICP algorithm.
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*
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* Match two surfaces using the iterative closest point (ICP) algorithm.
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* The core of the algorithm is to match each vertex in one surface with
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* the closest surface point on the other, then apply the transformation
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* that modify one surface to best match the other (in a least square sense).
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* This has to be iterated to get proper convergence of the surfaces.
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* @attention
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* Use vtkTransformPolyDataFilter to apply the resulting ICP transform to
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* your data. You might also set it to your actor's user transform.
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* @attention
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* This class makes use of vtkLandmarkTransform internally to compute the
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* best fit. Use the GetLandmarkTransform member to get a pointer to that
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* transform and set its parameters. You might, for example, constrain the
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* number of degrees of freedom of the solution (i.e. rigid body, similarity,
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* etc.) by checking the vtkLandmarkTransform documentation for its SetMode
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* member.
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* @sa
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* vtkLandmarkTransform
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*/
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#ifndef vtkIterativeClosestPointTransform_h
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#define vtkIterativeClosestPointTransform_h
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#include "vtkCommonDataModelModule.h" // For export macro
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#include "vtkLinearTransform.h"
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#define VTK_ICP_MODE_RMS 0
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#define VTK_ICP_MODE_AV 1
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class vtkCellLocator;
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class vtkLandmarkTransform;
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class vtkDataSet;
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class VTKCOMMONDATAMODEL_EXPORT vtkIterativeClosestPointTransform : public vtkLinearTransform
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{
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public:
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static vtkIterativeClosestPointTransform* New();
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vtkTypeMacro(vtkIterativeClosestPointTransform, vtkLinearTransform);
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void PrintSelf(ostream& os, vtkIndent indent) override;
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//@{
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/**
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* Specify the source and target data sets.
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*/
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void SetSource(vtkDataSet* source);
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void SetTarget(vtkDataSet* target);
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vtkGetObjectMacro(Source, vtkDataSet);
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vtkGetObjectMacro(Target, vtkDataSet);
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//@}
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//@{
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/**
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* Set/Get a spatial locator for speeding up the search process.
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* An instance of vtkCellLocator is used by default.
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*/
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void SetLocator(vtkCellLocator* locator);
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vtkGetObjectMacro(Locator, vtkCellLocator);
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//@}
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//@{
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/**
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* Set/Get the maximum number of iterations. Default is 50.
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*/
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vtkSetMacro(MaximumNumberOfIterations, int);
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vtkGetMacro(MaximumNumberOfIterations, int);
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//@}
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//@{
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/**
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* Get the number of iterations since the last update
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*/
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vtkGetMacro(NumberOfIterations, int);
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//@}
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//@{
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/**
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* Force the algorithm to check the mean distance between two iterations.
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* Default is Off.
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*/
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vtkSetMacro(CheckMeanDistance, vtkTypeBool);
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vtkGetMacro(CheckMeanDistance, vtkTypeBool);
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vtkBooleanMacro(CheckMeanDistance, vtkTypeBool);
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//@}
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//@{
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/**
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* Specify the mean distance mode. This mode expresses how the mean
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* distance is computed. The RMS mode is the square root of the average
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* of the sum of squares of the closest point distances. The Absolute
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* Value mode is the mean of the sum of absolute values of the closest
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* point distances. The default is VTK_ICP_MODE_RMS
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*/
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vtkSetClampMacro(MeanDistanceMode, int, VTK_ICP_MODE_RMS, VTK_ICP_MODE_AV);
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vtkGetMacro(MeanDistanceMode, int);
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void SetMeanDistanceModeToRMS() { this->SetMeanDistanceMode(VTK_ICP_MODE_RMS); }
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void SetMeanDistanceModeToAbsoluteValue() { this->SetMeanDistanceMode(VTK_ICP_MODE_AV); }
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const char* GetMeanDistanceModeAsString();
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//@}
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//@{
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/**
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* Set/Get the maximum mean distance between two iteration. If the mean
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* distance is lower than this, the convergence stops. The default
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* is 0.01.
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*/
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vtkSetMacro(MaximumMeanDistance, double);
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vtkGetMacro(MaximumMeanDistance, double);
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//@}
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//@{
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/**
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* Get the mean distance between the last two iterations.
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*/
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vtkGetMacro(MeanDistance, double);
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//@}
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//@{
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/**
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* Set/Get the maximum number of landmarks sampled in your dataset.
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* If your dataset is dense, then you will typically not need all the
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* points to compute the ICP transform. The default is 200.
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*/
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vtkSetMacro(MaximumNumberOfLandmarks, int);
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vtkGetMacro(MaximumNumberOfLandmarks, int);
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//@}
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//@{
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/**
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* Starts the process by translating source centroid to target centroid.
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* The default is Off.
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*/
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vtkSetMacro(StartByMatchingCentroids, vtkTypeBool);
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vtkGetMacro(StartByMatchingCentroids, vtkTypeBool);
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vtkBooleanMacro(StartByMatchingCentroids, vtkTypeBool);
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//@}
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//@{
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/**
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* Get the internal landmark transform. Use it to constrain the number of
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* degrees of freedom of the solution (i.e. rigid body, similarity, etc.).
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*/
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vtkGetObjectMacro(LandmarkTransform, vtkLandmarkTransform);
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//@}
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/**
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* Invert the transformation. This is done by switching the
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* source and target.
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*/
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void Inverse() override;
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/**
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* Make another transform of the same type.
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*/
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vtkAbstractTransform* MakeTransform() override;
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protected:
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//@{
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/**
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* Release source and target
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*/
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void ReleaseSource(void);
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void ReleaseTarget(void);
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//@}
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/**
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* Release locator
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*/
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void ReleaseLocator(void);
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/**
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* Create default locator. Used to create one when none is specified.
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*/
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void CreateDefaultLocator(void);
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/**
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* Get the MTime of this object also considering the locator.
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*/
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vtkMTimeType GetMTime() override;
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vtkIterativeClosestPointTransform();
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~vtkIterativeClosestPointTransform() override;
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void InternalUpdate() override;
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/**
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* This method does no type checking, use DeepCopy instead.
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*/
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void InternalDeepCopy(vtkAbstractTransform* transform) override;
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vtkDataSet* Source;
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vtkDataSet* Target;
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vtkCellLocator* Locator;
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int MaximumNumberOfIterations;
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vtkTypeBool CheckMeanDistance;
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int MeanDistanceMode;
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double MaximumMeanDistance;
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int MaximumNumberOfLandmarks;
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vtkTypeBool StartByMatchingCentroids;
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int NumberOfIterations;
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double MeanDistance;
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vtkLandmarkTransform* LandmarkTransform;
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private:
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vtkIterativeClosestPointTransform(const vtkIterativeClosestPointTransform&) = delete;
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void operator=(const vtkIterativeClosestPointTransform&) = delete;
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};
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#endif
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