ActiViz .NET  5.8.0
Public Member Functions | Static Public Member Functions | Public Attributes | Static Public Attributes | Protected Member Functions | Static Private Member Functions
Kitware.VTK.vtkIterativeClosestPointTransform Class Reference

vtkIterativeClosestPointTransform - Implementation of the ICP algorithm. More...

Inheritance diagram for Kitware.VTK.vtkIterativeClosestPointTransform:
[legend]
Collaboration diagram for Kitware.VTK.vtkIterativeClosestPointTransform:
[legend]

List of all members.

Public Member Functions

 vtkIterativeClosestPointTransform (IntPtr rawCppThis, bool callDisposalMethod, bool strong)
 Automatically generated constructor - called from generated code. DO NOT call directly.
 vtkIterativeClosestPointTransform ()
 *Undocumented Block
virtual void CheckMeanDistanceOff ()
 Force the algorithm to check the mean distance between two iterations. Default is Off.
virtual void CheckMeanDistanceOn ()
 Force the algorithm to check the mean distance between two iterations. Default is Off.
virtual int GetCheckMeanDistance ()
 Force the algorithm to check the mean distance between two iterations. Default is Off.
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.).
virtual vtkCellLocator GetLocator ()
 Set/Get a spatial locator for speeding up the search process. An instance of vtkCellLocator is used by default.
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.
virtual int GetMaximumNumberOfIterations ()
 Set/Get the maximum number of iterations. Default is 50.
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.
virtual double GetMeanDistance ()
 Get the mean distance between the last two iterations.
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.
string 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.
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.
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.
virtual int GetNumberOfIterations ()
 Get the number of iterations since the last update.
virtual vtkDataSet GetSource ()
 Specify the source and target data sets.
virtual int GetStartByMatchingCentroids ()
 Starts the process by translating source centroid to target centroid. The default is Off.
virtual vtkDataSet GetTarget ()
 Specify the source and target data sets.
override void Inverse ()
 Invert the transformation. This is done by switching the source and target.
override int IsA (string type)
 *Undocumented Block
override vtkAbstractTransform MakeTransform ()
 Make another transform of the same type.
new
vtkIterativeClosestPointTransform 
NewInstance ()
 *Undocumented Block
virtual void SetCheckMeanDistance (int _arg)
 Force the algorithm to check the mean distance between two iterations. Default is Off.
void SetLocator (vtkCellLocator locator)
 Set/Get a spatial locator for speeding up the search process. An instance of vtkCellLocator is used by default.
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.
virtual void SetMaximumNumberOfIterations (int _arg)
 Set/Get the maximum number of iterations. Default is 50.
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.
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.
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.
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.
void SetSource (vtkDataSet source)
 Specify the source and target data sets.
virtual void SetStartByMatchingCentroids (int _arg)
 Starts the process by translating source centroid to target centroid. The default is Off.
void SetTarget (vtkDataSet target)
 Specify the source and target data sets.
virtual void StartByMatchingCentroidsOff ()
 Starts the process by translating source centroid to target centroid. The default is Off.
virtual void StartByMatchingCentroidsOn ()
 Starts the process by translating source centroid to target centroid. The default is Off.
- Public Member Functions inherited from Kitware.VTK.vtkLinearTransform
 vtkLinearTransform (IntPtr rawCppThis, bool callDisposalMethod, bool strong)
 Automatically generated constructor - called from generated code. DO NOT call directly.
vtkLinearTransform GetLinearInverse ()
 Just like GetInverse, but it includes a typecast to vtkLinearTransform.
virtual void InternalTransformNormal (IntPtr arg0, IntPtr arg1)
 This will calculate the transformation without calling Update. Meant for use only within other VTK classes.
override void InternalTransformPoint (IntPtr arg0, IntPtr arg1)
 This will calculate the transformation without calling Update. Meant for use only within other VTK classes.
virtual void InternalTransformVector (IntPtr arg0, IntPtr arg1)
 This will calculate the transformation without calling Update. Meant for use only within other VTK classes.
double[] TransformDoubleNormal (double x, double y, double z)
 Apply the transformation to a double-precision (x,y,z) normal. Use this if you are programming in python, tcl or Java.
double[] TransformDoubleNormal (IntPtr normal)
 Apply the transformation to a double-precision (x,y,z) normal. Use this if you are programming in python, tcl or Java.
double[] TransformDoubleVector (double x, double y, double z)
 Apply the transformation to a double-precision (x,y,z) vector. Use this if you are programming in python, tcl or Java.
double[] TransformDoubleVector (IntPtr vec)
 Apply the transformation to a double-precision (x,y,z) vector. Use this if you are programming in python, tcl or Java.
float[] TransformFloatNormal (float x, float y, float z)
 Apply the transformation to an (x,y,z) normal. Use this if you are programming in python, tcl or Java.
float[] TransformFloatNormal (IntPtr normal)
 Apply the transformation to an (x,y,z) normal. Use this if you are programming in python, tcl or Java.
float[] TransformFloatVector (float x, float y, float z)
 Apply the transformation to an (x,y,z) vector. Use this if you are programming in python, tcl or Java.
float[] TransformFloatVector (IntPtr vec)
 Apply the transformation to an (x,y,z) vector. Use this if you are programming in python, tcl or Java.
void TransformNormal (IntPtr arg0, IntPtr arg1)
 Apply the transformation to a normal. You can use the same array to store both the input and output.
double[] TransformNormal (double x, double y, double z)
 Synonymous with TransformDoubleNormal(x,y,z). Use this if you are programming in python, tcl or Java.
double[] TransformNormal (IntPtr normal)
 Synonymous with TransformDoubleNormal(x,y,z). Use this if you are programming in python, tcl or Java.
virtual void TransformNormals (vtkDataArray inNms, vtkDataArray outNms)
 Apply the transformation to a series of normals, and append the results to outNms.
override void TransformPoints (vtkPoints inPts, vtkPoints outPts)
 Apply the transformation to a series of points, and append the results to outPts.
override void TransformPointsNormalsVectors (vtkPoints inPts, vtkPoints outPts, vtkDataArray inNms, vtkDataArray outNms, vtkDataArray inVrs, vtkDataArray outVrs)
 Apply the transformation to a combination of points, normals and vectors.
double[] TransformVector (double x, double y, double z)
 Synonymous with TransformDoubleVector(x,y,z). Use this if you are programming in python, tcl or Java.
double[] TransformVector (IntPtr normal)
 Synonymous with TransformDoubleVector(x,y,z). Use this if you are programming in python, tcl or Java.
void TransformVector (IntPtr arg0, IntPtr arg1)
 Apply the transformation to a vector. You can use the same array to store both the input and output.
virtual void TransformVectors (vtkDataArray inVrs, vtkDataArray outVrs)
 Apply the transformation to a series of vectors, and append the results to outVrs.
- Public Member Functions inherited from Kitware.VTK.vtkHomogeneousTransform
 vtkHomogeneousTransform (IntPtr rawCppThis, bool callDisposalMethod, bool strong)
 Automatically generated constructor - called from generated code. DO NOT call directly.
vtkHomogeneousTransform GetHomogeneousInverse ()
 Just like GetInverse(), but includes typecast to vtkHomogeneousTransform.
void GetMatrix (vtkMatrix4x4 m)
 Get a copy of the internal transformation matrix. The transform is Updated first, to guarantee that the matrix is valid.
vtkMatrix4x4 GetMatrix ()
 Get a pointer to an internal vtkMatrix4x4 that represents the transformation. An Update() is called on the transform to ensure that the matrix is up-to-date when you get it. You should not store the matrix pointer anywhere because it might become stale.
- Public Member Functions inherited from Kitware.VTK.vtkAbstractTransform
 vtkAbstractTransform (IntPtr rawCppThis, bool callDisposalMethod, bool strong)
 Automatically generated constructor - called from generated code. DO NOT call directly.
virtual int CircuitCheck (vtkAbstractTransform transform)
 Check for self-reference. Will return true if concatenating with the specified transform, setting it to be our inverse, or setting it to be our input will create a circular reference. CircuitCheck is automatically called by SetInput(), SetInverse(), and Concatenate(vtkXTransform *). Avoid using this function, it is experimental.
void DeepCopy (vtkAbstractTransform arg0)
 Copy this transform from another of the same type.
vtkAbstractTransform GetInverse ()
 Get the inverse of this transform. If you modify this transform, the returned inverse transform will automatically update. If you want the inverse of a vtkTransform, you might want to use GetLinearInverse() instead which will type cast the result from vtkAbstractTransform to vtkLinearTransform.
override uint GetMTime ()
 Override GetMTime necessary because of inverse transforms.
void SetInverse (vtkAbstractTransform transform)
 Set a transformation that this transform will be the inverse of. This transform will automatically update to agree with the inverse transform that you set.
double[] TransformDoubleNormalAtPoint (IntPtr point, IntPtr normal)
 Apply the transformation to a double-precision normal at the specified vertex. If the transformation is a vtkLinearTransform, you can use TransformDoubleNormal() instead.
double[] TransformDoublePoint (double x, double y, double z)
 Apply the transformation to a double-precision (x,y,z) coordinate. Use this if you are programming in Python, tcl or Java.
double[] TransformDoublePoint (IntPtr point)
 Apply the transformation to a double-precision (x,y,z) coordinate. Use this if you are programming in Python, tcl or Java.
double[] TransformDoubleVectorAtPoint (IntPtr point, IntPtr vector)
 Apply the transformation to a double-precision vector at the specified vertex. If the transformation is a vtkLinearTransform, you can use TransformDoubleVector() instead.
float[] TransformFloatNormalAtPoint (IntPtr point, IntPtr normal)
 Apply the transformation to a single-precision normal at the specified vertex. If the transformation is a vtkLinearTransform, you can use TransformFloatNormal() instead.
float[] TransformFloatPoint (float x, float y, float z)
 Apply the transformation to an (x,y,z) coordinate. Use this if you are programming in Python, tcl or Java.
float[] TransformFloatPoint (IntPtr point)
 Apply the transformation to an (x,y,z) coordinate. Use this if you are programming in Python, tcl or Java.
float[] TransformFloatVectorAtPoint (IntPtr point, IntPtr vector)
 Apply the transformation to a single-precision vector at the specified vertex. If the transformation is a vtkLinearTransform, you can use TransformFloatVector() instead.
void TransformNormalAtPoint (IntPtr point, IntPtr arg1, IntPtr arg2)
 Apply the transformation to a normal at the specified vertex. If the transformation is a vtkLinearTransform, you can use TransformNormal() instead.
double[] TransformNormalAtPoint (IntPtr point, IntPtr normal)
 Apply the transformation to a normal at the specified vertex. If the transformation is a vtkLinearTransform, you can use TransformNormal() instead.
void TransformPoint (IntPtr arg0, IntPtr arg1)
 Apply the transformation to a coordinate. You can use the same array to store both the input and output point.
double[] TransformPoint (double x, double y, double z)
 Apply the transformation to a double-precision coordinate. Use this if you are programming in Python, tcl or Java.
double[] TransformPoint (IntPtr point)
 Apply the transformation to a double-precision coordinate. Use this if you are programming in Python, tcl or Java.
void TransformVectorAtPoint (IntPtr point, IntPtr arg1, IntPtr arg2)
 Apply the transformation to a vector at the specified vertex. If the transformation is a vtkLinearTransform, you can use TransformVector() instead.
double[] TransformVectorAtPoint (IntPtr point, IntPtr vector)
 Apply the transformation to a vector at the specified vertex. If the transformation is a vtkLinearTransform, you can use TransformVector() instead.
void Update ()
 Update the transform to account for any changes which have been made. You do not have to call this method yourself, it is called automatically whenever the transform needs an update.
- Public Member Functions inherited from Kitware.VTK.vtkObject
 vtkObject (IntPtr rawCppThis, bool callDisposalMethod, bool strong)
 Automatically generated constructor - called from generated code. DO NOT call directly.
 vtkObject ()
 Create an object with Debug turned off, modified time initialized to zero, and reference counting on.
uint AddObserver (uint arg0, vtkCommand arg1, float priority)
 This is a global flag that controls whether any debug, warning or error messages are displayed.
uint AddObserver (string arg0, vtkCommand arg1, float priority)
 This is a global flag that controls whether any debug, warning or error messages are displayed.
virtual void DebugOff ()
 Turn debugging output off.
virtual void DebugOn ()
 Turn debugging output on.
vtkCommand GetCommand (uint tag)
 This is a global flag that controls whether any debug, warning or error messages are displayed.
byte GetDebug ()
 Get the value of the debug flag.
int HasObserver (uint arg0, vtkCommand arg1)
 This is a global flag that controls whether any debug, warning or error messages are displayed.
int HasObserver (string arg0, vtkCommand arg1)
 This is a global flag that controls whether any debug, warning or error messages are displayed.
int HasObserver (uint arg0)
 This is a global flag that controls whether any debug, warning or error messages are displayed.
int HasObserver (string arg0)
 This is a global flag that controls whether any debug, warning or error messages are displayed.
int InvokeEvent (uint arg0, IntPtr callData)
 This is a global flag that controls whether any debug, warning or error messages are displayed.
int InvokeEvent (string arg0, IntPtr callData)
 This is a global flag that controls whether any debug, warning or error messages are displayed.
int InvokeEvent (uint arg0)
 This is a global flag that controls whether any debug, warning or error messages are displayed.
int InvokeEvent (string arg0)
 This is a global flag that controls whether any debug, warning or error messages are displayed.
virtual void Modified ()
 Update the modification time for this object. Many filters rely on the modification time to determine if they need to recompute their data. The modification time is a unique monotonically increasing unsigned long integer.
void RemoveAllObservers ()
 This is a global flag that controls whether any debug, warning or error messages are displayed.
void RemoveObserver (vtkCommand arg0)
 This is a global flag that controls whether any debug, warning or error messages are displayed.
void RemoveObserver (uint tag)
 This is a global flag that controls whether any debug, warning or error messages are displayed.
void RemoveObservers (uint arg0, vtkCommand arg1)
 This is a global flag that controls whether any debug, warning or error messages are displayed.
void RemoveObservers (string arg0, vtkCommand arg1)
 This is a global flag that controls whether any debug, warning or error messages are displayed.
void RemoveObservers (uint arg0)
 This is a global flag that controls whether any debug, warning or error messages are displayed.
void RemoveObservers (string arg0)
 This is a global flag that controls whether any debug, warning or error messages are displayed.
void SetDebug (byte debugFlag)
 Set the value of the debug flag. A non-zero value turns debugging on.
override string ToString ()
 Returns the result of calling vtkObject::Print as a C# string.
delegate void vtkObjectEventHandler (vtkObject sender, vtkObjectEventArgs e)
 Generic signature for all vtkObject events.
void RemoveAllHandlersForAllEvents ()
 Call RemoveAllHandlers on each non-null vtkObjectEventRelay. TODO: This method needs to get called by the generated Dispose. Make that happen...
- Public Member Functions inherited from Kitware.VTK.vtkObjectBase
 vtkObjectBase (IntPtr rawCppThis, bool callDisposalMethod, bool strong)
 Automatically generated constructor - called from generated code. DO NOT call directly.
 vtkObjectBase ()
 Create an object with Debug turned off, modified time initialized to zero, and reference counting on.
virtual void Register (vtkObjectBase o)
 Increase the reference count (mark as used by another object).
virtual void FastDelete ()
 Delete a reference to this object. This version will not invoke garbage collection and can potentially leak the object if it is part of a reference loop. Use this method only when it is known that the object has another reference and would not be collected if a full garbage collection check were done.
string GetClassName ()
 Return the class name as a string. This method is defined in all subclasses of vtkObjectBase with the vtkTypeMacro found in vtkSetGet.h.
int GetReferenceCount ()
 Return the current reference count of this object.
void SetReferenceCount (int arg0)
 Sets the reference count. (This is very dangerous, use with care.)

Static Public Member Functions

static new
vtkIterativeClosestPointTransform 
New ()
 *Undocumented Block
static new int IsTypeOf (string type)
 *Undocumented Block
static new
vtkIterativeClosestPointTransform 
SafeDownCast (vtkObjectBase o)
 *Undocumented Block

Public Attributes

new const string MRFullTypeName = "Kitware.VTK.vtkIterativeClosestPointTransform"
 Automatically generated type registration mechanics.
- Public Attributes inherited from Kitware.VTK.vtkLinearTransform
- Public Attributes inherited from Kitware.VTK.vtkHomogeneousTransform
- Public Attributes inherited from Kitware.VTK.vtkAbstractTransform
- Public Attributes inherited from Kitware.VTK.vtkObject
- Public Attributes inherited from Kitware.VTK.vtkObjectBase
- Public Attributes inherited from Kitware.VTK.WrappedObject
const string vtkChartsEL_dll = "libKitware.VTK.vtkCharts.Unmanaged.so"
 Export layer functions for 'vtkCharts' are exported from the DLL named by the value of this variable.
const string vtkCommonEL_dll = "libKitware.VTK.vtkCommon.Unmanaged.so"
 Export layer functions for 'vtkCommon' are exported from the DLL named by the value of this variable.
const string vtkFilteringEL_dll = "libKitware.VTK.vtkFiltering.Unmanaged.so"
 Export layer functions for 'vtkFiltering' are exported from the DLL named by the value of this variable.
const string vtkGenericFilteringEL_dll = "libKitware.VTK.vtkGenericFiltering.Unmanaged.so"
 Export layer functions for 'vtkGenericFiltering' are exported from the DLL named by the value of this variable.
const string vtkGeovisEL_dll = "libKitware.VTK.vtkGeovis.Unmanaged.so"
 Export layer functions for 'vtkGeovis' are exported from the DLL named by the value of this variable.
const string vtkGraphicsEL_dll = "libKitware.VTK.vtkGraphics.Unmanaged.so"
 Export layer functions for 'vtkGraphics' are exported from the DLL named by the value of this variable.
const string vtkHybridEL_dll = "libKitware.VTK.vtkHybrid.Unmanaged.so"
 Export layer functions for 'vtkHybrid' are exported from the DLL named by the value of this variable.
const string vtkIOEL_dll = "libKitware.VTK.vtkIO.Unmanaged.so"
 Export layer functions for 'vtkIO' are exported from the DLL named by the value of this variable.
const string vtkImagingEL_dll = "libKitware.VTK.vtkImaging.Unmanaged.so"
 Export layer functions for 'vtkImaging' are exported from the DLL named by the value of this variable.
const string vtkInfovisEL_dll = "libKitware.VTK.vtkInfovis.Unmanaged.so"
 Export layer functions for 'vtkInfovis' are exported from the DLL named by the value of this variable.
const string vtkParallelEL_dll = "libKitware.VTK.vtkParallel.Unmanaged.so"
 Export layer functions for 'vtkParallel' are exported from the DLL named by the value of this variable.
const string vtkRenderingEL_dll = "libKitware.VTK.vtkRendering.Unmanaged.so"
 Export layer functions for 'vtkRendering' are exported from the DLL named by the value of this variable.
const string vtkViewsEL_dll = "libKitware.VTK.vtkViews.Unmanaged.so"
 Export layer functions for 'vtkViews' are exported from the DLL named by the value of this variable.
const string vtkVolumeRenderingEL_dll = "libKitware.VTK.vtkVolumeRendering.Unmanaged.so"
 Export layer functions for 'vtkVolumeRendering' are exported from the DLL named by the value of this variable.
const string vtkWidgetsEL_dll = "libKitware.VTK.vtkWidgets.Unmanaged.so"
 Export layer functions for 'vtkWidgets' are exported from the DLL named by the value of this variable.

Static Public Attributes

static new readonly string MRClassNameKey = "33vtkIterativeClosestPointTransform"
 Automatically generated type registration mechanics.
- Static Public Attributes inherited from Kitware.VTK.vtkLinearTransform
- Static Public Attributes inherited from Kitware.VTK.vtkHomogeneousTransform
- Static Public Attributes inherited from Kitware.VTK.vtkAbstractTransform
- Static Public Attributes inherited from Kitware.VTK.vtkObject
- Static Public Attributes inherited from Kitware.VTK.vtkObjectBase

Protected Member Functions

override void Dispose (bool disposing)
 Automatically generated protected Dispose method - called from public Dispose or the C# destructor. DO NOT call directly.

Static Private Member Functions

static vtkIterativeClosestPointTransform ()
 Automatically generated type registration mechanics.

Detailed Description

vtkIterativeClosestPointTransform - Implementation of the ICP algorithm.

Description 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. Note Use vtkTransformPolyDataFilter to apply the resulting ICP transform to your data. You might also set it to your actor's user transform. Note 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.

vtkLandmarkTransform


Constructor & Destructor Documentation

static Kitware.VTK.vtkIterativeClosestPointTransform.vtkIterativeClosestPointTransform ( )
staticprivate

Automatically generated type registration mechanics.

Kitware.VTK.vtkIterativeClosestPointTransform.vtkIterativeClosestPointTransform ( IntPtr  rawCppThis,
bool  callDisposalMethod,
bool  strong 
)

Automatically generated constructor - called from generated code. DO NOT call directly.

Kitware.VTK.vtkIterativeClosestPointTransform.vtkIterativeClosestPointTransform ( )

*Undocumented Block


Member Function Documentation

virtual void Kitware.VTK.vtkIterativeClosestPointTransform.CheckMeanDistanceOff ( )
virtual

Force the algorithm to check the mean distance between two iterations. Default is Off.

virtual void Kitware.VTK.vtkIterativeClosestPointTransform.CheckMeanDistanceOn ( )
virtual

Force the algorithm to check the mean distance between two iterations. Default is Off.

override void Kitware.VTK.vtkIterativeClosestPointTransform.Dispose ( bool  disposing)
protected

Automatically generated protected Dispose method - called from public Dispose or the C# destructor. DO NOT call directly.

Reimplemented from Kitware.VTK.vtkLinearTransform.

virtual int Kitware.VTK.vtkIterativeClosestPointTransform.GetCheckMeanDistance ( )
virtual

Force the algorithm to check the mean distance between two iterations. Default is Off.

virtual vtkLandmarkTransform Kitware.VTK.vtkIterativeClosestPointTransform.GetLandmarkTransform ( )
virtual

Get the internal landmark transform. Use it to constrain the number of degrees of freedom of the solution (i.e. rigid body, similarity, etc.).

Here is the call graph for this function:

virtual vtkCellLocator Kitware.VTK.vtkIterativeClosestPointTransform.GetLocator ( )
virtual

Set/Get a spatial locator for speeding up the search process. An instance of vtkCellLocator is used by default.

Here is the call graph for this function:

virtual double Kitware.VTK.vtkIterativeClosestPointTransform.GetMaximumMeanDistance ( )
virtual

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.

virtual int Kitware.VTK.vtkIterativeClosestPointTransform.GetMaximumNumberOfIterations ( )
virtual

Set/Get the maximum number of iterations. Default is 50.

virtual int Kitware.VTK.vtkIterativeClosestPointTransform.GetMaximumNumberOfLandmarks ( )
virtual

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.

virtual double Kitware.VTK.vtkIterativeClosestPointTransform.GetMeanDistance ( )
virtual

Get the mean distance between the last two iterations.

virtual int Kitware.VTK.vtkIterativeClosestPointTransform.GetMeanDistanceMode ( )
virtual

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.

string Kitware.VTK.vtkIterativeClosestPointTransform.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.

virtual int Kitware.VTK.vtkIterativeClosestPointTransform.GetMeanDistanceModeMaxValue ( )
virtual

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.

virtual int Kitware.VTK.vtkIterativeClosestPointTransform.GetMeanDistanceModeMinValue ( )
virtual

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.

virtual int Kitware.VTK.vtkIterativeClosestPointTransform.GetNumberOfIterations ( )
virtual

Get the number of iterations since the last update.

virtual vtkDataSet Kitware.VTK.vtkIterativeClosestPointTransform.GetSource ( )
virtual

Specify the source and target data sets.

Here is the call graph for this function:

virtual int Kitware.VTK.vtkIterativeClosestPointTransform.GetStartByMatchingCentroids ( )
virtual

Starts the process by translating source centroid to target centroid. The default is Off.

virtual vtkDataSet Kitware.VTK.vtkIterativeClosestPointTransform.GetTarget ( )
virtual

Specify the source and target data sets.

Here is the call graph for this function:

override void Kitware.VTK.vtkIterativeClosestPointTransform.Inverse ( )
virtual

Invert the transformation. This is done by switching the source and target.

Reimplemented from Kitware.VTK.vtkAbstractTransform.

override int Kitware.VTK.vtkIterativeClosestPointTransform.IsA ( string  type)
virtual

*Undocumented Block

Reimplemented from Kitware.VTK.vtkLinearTransform.

static new int Kitware.VTK.vtkIterativeClosestPointTransform.IsTypeOf ( string  type)
static

*Undocumented Block

Reimplemented from Kitware.VTK.vtkLinearTransform.

override vtkAbstractTransform Kitware.VTK.vtkIterativeClosestPointTransform.MakeTransform ( )
virtual

Make another transform of the same type.

Reimplemented from Kitware.VTK.vtkAbstractTransform.

static new vtkIterativeClosestPointTransform Kitware.VTK.vtkIterativeClosestPointTransform.New ( )
static

*Undocumented Block

Reimplemented from Kitware.VTK.vtkObject.

new vtkIterativeClosestPointTransform Kitware.VTK.vtkIterativeClosestPointTransform.NewInstance ( )

*Undocumented Block

Reimplemented from Kitware.VTK.vtkLinearTransform.

static new vtkIterativeClosestPointTransform Kitware.VTK.vtkIterativeClosestPointTransform.SafeDownCast ( vtkObjectBase  o)
static

*Undocumented Block

Reimplemented from Kitware.VTK.vtkLinearTransform.

Here is the call graph for this function:

virtual void Kitware.VTK.vtkIterativeClosestPointTransform.SetCheckMeanDistance ( int  _arg)
virtual

Force the algorithm to check the mean distance between two iterations. Default is Off.

void Kitware.VTK.vtkIterativeClosestPointTransform.SetLocator ( vtkCellLocator  locator)

Set/Get a spatial locator for speeding up the search process. An instance of vtkCellLocator is used by default.

virtual void Kitware.VTK.vtkIterativeClosestPointTransform.SetMaximumMeanDistance ( double  _arg)
virtual

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.

virtual void Kitware.VTK.vtkIterativeClosestPointTransform.SetMaximumNumberOfIterations ( int  _arg)
virtual

Set/Get the maximum number of iterations. Default is 50.

virtual void Kitware.VTK.vtkIterativeClosestPointTransform.SetMaximumNumberOfLandmarks ( int  _arg)
virtual

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.

virtual void Kitware.VTK.vtkIterativeClosestPointTransform.SetMeanDistanceMode ( int  _arg)
virtual

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.

void Kitware.VTK.vtkIterativeClosestPointTransform.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.

void Kitware.VTK.vtkIterativeClosestPointTransform.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.

void Kitware.VTK.vtkIterativeClosestPointTransform.SetSource ( vtkDataSet  source)

Specify the source and target data sets.

virtual void Kitware.VTK.vtkIterativeClosestPointTransform.SetStartByMatchingCentroids ( int  _arg)
virtual

Starts the process by translating source centroid to target centroid. The default is Off.

void Kitware.VTK.vtkIterativeClosestPointTransform.SetTarget ( vtkDataSet  target)

Specify the source and target data sets.

virtual void Kitware.VTK.vtkIterativeClosestPointTransform.StartByMatchingCentroidsOff ( )
virtual

Starts the process by translating source centroid to target centroid. The default is Off.

virtual void Kitware.VTK.vtkIterativeClosestPointTransform.StartByMatchingCentroidsOn ( )
virtual

Starts the process by translating source centroid to target centroid. The default is Off.


Member Data Documentation

new readonly string Kitware.VTK.vtkIterativeClosestPointTransform.MRClassNameKey = "33vtkIterativeClosestPointTransform"
static

Automatically generated type registration mechanics.

Reimplemented from Kitware.VTK.vtkLinearTransform.

new const string Kitware.VTK.vtkIterativeClosestPointTransform.MRFullTypeName = "Kitware.VTK.vtkIterativeClosestPointTransform"

Automatically generated type registration mechanics.

Reimplemented from Kitware.VTK.vtkLinearTransform.


The documentation for this class was generated from the following file: