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Superclass: vtkLinearTransform 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 vtkCommonDataModelPython.vtkIterativeClosestPointTransformV.IsTypeOf(string) -> int C++: static vtkTypeBool IsTypeOf(const char *type) Return 1 if this class type is the same type of (or a subclass of) the named class. Returns 0 otherwise. This method works in combination with vtkTypeMacro found in vtkSetGet.h. V.IsA(string) -> int C++: vtkTypeBool IsA(const char *type) override; Return 1 if this class is the same type of (or a subclass of) the named class. Returns 0 otherwise. This method works in combination with vtkTypeMacro found in vtkSetGet.h. V.SafeDownCast(vtkObjectBase) -> vtkIterativeClosestPointTransform C++: static vtkIterativeClosestPointTransform *SafeDownCast( vtkObjectBase *o) V.NewInstance() -> vtkIterativeClosestPointTransform C++: vtkIterativeClosestPointTransform *NewInstance() V.SetSource(vtkDataSet) C++: void SetSource(vtkDataSet *source) Specify the source and target data sets. V.SetTarget(vtkDataSet) C++: void SetTarget(vtkDataSet *target) Specify the source and target data sets. V.GetSource() -> vtkDataSet C++: virtual vtkDataSet *GetSource() Specify the source and target data sets. V.GetTarget() -> vtkDataSet C++: virtual vtkDataSet *GetTarget() Specify the source and target data sets. V.SetLocator(vtkCellLocator) C++: void SetLocator(vtkCellLocator *locator) Set/Get a spatial locator for speeding up the search process. An instance of vtkCellLocator is used by default. V.GetLocator() -> vtkCellLocator C++: virtual vtkCellLocator *GetLocator() Set/Get a spatial locator for speeding up the search process. An instance of vtkCellLocator is used by default. V.SetMaximumNumberOfIterations(int) C++: virtual void SetMaximumNumberOfIterations(int _arg) Set/Get the maximum number of iterations. Default is 50. V.GetMaximumNumberOfIterations() -> int C++: virtual int GetMaximumNumberOfIterations() Set/Get the maximum number of iterations. Default is 50. V.GetNumberOfIterations() -> int C++: virtual int GetNumberOfIterations() Get the number of iterations since the last update V.SetCheckMeanDistance(int) C++: virtual void SetCheckMeanDistance(int _arg) Force the algorithm to check the mean distance between two iterations. Default is Off. V.GetCheckMeanDistance() -> int C++: virtual int GetCheckMeanDistance() Force the algorithm to check the mean distance between two iterations. Default is Off. V.CheckMeanDistanceOn() C++: virtual void CheckMeanDistanceOn() Force the algorithm to check the mean distance between two iterations. Default is Off. V.CheckMeanDistanceOff() C++: virtual void CheckMeanDistanceOff() Force the algorithm to check the mean distance between two iterations. Default is Off. V.SetMeanDistanceMode(int) C++: virtual void SetMeanDistanceMode(int _arg) 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 V.GetMeanDistanceModeMinValue() -> int C++: virtual int GetMeanDistanceModeMinValue() 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 V.GetMeanDistanceModeMaxValue() -> int C++: virtual int GetMeanDistanceModeMaxValue() 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 V.GetMeanDistanceMode() -> int C++: virtual int GetMeanDistanceMode() 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 V.SetMeanDistanceModeToRMS() C++: void SetMeanDistanceModeToRMS() 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 V.SetMeanDistanceModeToAbsoluteValue() C++: void SetMeanDistanceModeToAbsoluteValue() 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 V.GetMeanDistanceModeAsString() -> string C++: const char *GetMeanDistanceModeAsString() 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 V.SetMaximumMeanDistance(float) C++: virtual void SetMaximumMeanDistance(double _arg) 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. V.GetMaximumMeanDistance() -> float C++: virtual double GetMaximumMeanDistance() 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. V.GetMeanDistance() -> float C++: virtual double GetMeanDistance() Get the mean distance between the last two iterations. V.SetMaximumNumberOfLandmarks(int) C++: virtual void SetMaximumNumberOfLandmarks(int _arg) 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. V.GetMaximumNumberOfLandmarks() -> int C++: virtual int GetMaximumNumberOfLandmarks() 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. V.SetStartByMatchingCentroids(int) C++: virtual void SetStartByMatchingCentroids(int _arg) Starts the process by translating source centroid to target centroid. The default is Off. V.GetStartByMatchingCentroids() -> int C++: virtual int GetStartByMatchingCentroids() Starts the process by translating source centroid to target centroid. The default is Off. V.StartByMatchingCentroidsOn() C++: virtual void StartByMatchingCentroidsOn() Starts the process by translating source centroid to target centroid. The default is Off. V.StartByMatchingCentroidsOff() C++: virtual void StartByMatchingCentroidsOff() Starts the process by translating source centroid to target centroid. The default is Off. V.GetLandmarkTransform() -> vtkLandmarkTransform C++: virtual vtkLandmarkTransform *GetLandmarkTransform() Get the internal landmark transform. Use it to constrain the number of degrees of freedom of the solution (i.e. rigid body, similarity, etc.). V.Inverse() C++: void Inverse() override; Invert the transformation. This is done by switching the source and target. V.MakeTransform() -> vtkAbstractTransform C++: vtkAbstractTransform *MakeTransform() override; Make another transform of the same type. vtkLinearTransformvtkHomogeneousTransformvtkAbstractTransformvtkObjectUH=Hu]ÐHH=tHH=tHH=tHH=tH]HHH;u)tLJ1HHXH;u!tLJHHXH;u)tLJ1HHH;u!tLJHHHDGCC: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0GNUzRx  0 D X!l  ! 1   )  4 H!\ p!    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