You cannot select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
Tools/Win64/VTK/include/vtk-9.0/vtkIterativeClosestPointTra...

228 lines
6.6 KiB
C++

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