sample unstructured points onto structured points using the method of Shepard More...

#include <vtkShepardMethod.h>

Inheritance diagram for vtkShepardMethod:

Collaboration diagram for vtkShepardMethod:

Public Types
typedef vtkImageAlgorithm	Superclass
Public Member Functions
virtual int	IsA (const char *type)
vtkShepardMethod *	NewInstance () const
void	PrintSelf (ostream &os, vtkIndent indent)
double	ComputeModelBounds (double origin[3], double ar[3])
void	SetSampleDimensions (int i, int j, int k)
void	SetSampleDimensions (int dim[3])

virtual int *	GetSampleDimensions ()
virtual void	GetSampleDimensions (int data[3])

virtual void	SetMaximumDistance (double)
virtual double	GetMaximumDistance ()

virtual void	SetModelBounds (double, double, double, double, double, double)
virtual void	SetModelBounds (double[6])
virtual double *	GetModelBounds ()
virtual void	GetModelBounds (double data[6])

virtual void	SetNullValue (double)
virtual double	GetNullValue ()
Static Public Member Functions
static int	IsTypeOf (const char *type)
static vtkShepardMethod *	SafeDownCast (vtkObjectBase *o)
static vtkShepardMethod *	New ()
Protected Member Functions
virtual vtkObjectBase *	NewInstanceInternal () const
	vtkShepardMethod ()
	~vtkShepardMethod ()
virtual int	RequestInformation (vtkInformation , vtkInformationVector , vtkInformationVector )
virtual int	RequestData (vtkInformation request, vtkInformationVector inputVector, vtkInformationVector outputVector)
virtual int	FillInputPortInformation (int port, vtkInformation *info)
Protected Attributes
int	SampleDimensions [3]
double	MaximumDistance
double	ModelBounds [6]
double	NullValue

Detailed Description

sample unstructured points onto structured points using the method of Shepard

vtkShepardMethod is a filter used to visualize unstructured point data using Shepard's method. The method works by resampling the unstructured points onto a structured points set. The influence functions are described as "inverse distance weighted". Once the structured points are computed, the usual visualization techniques (e.g., iso-contouring or volume rendering) can be used visualize the structured points.

Warning:: The input to this filter is any dataset type. This filter can be used to resample any form of data, i.e., the input data need not be unstructured.; The bounds of the data (i.e., the sample space) is automatically computed if not set by the user.; If you use a maximum distance less than 1.0, some output points may never receive a contribution. The final value of these points can be specified with the "NullValue" instance variable.

Tests:: vtkShepardMethod (Tests)

Definition at line 48 of file vtkShepardMethod.h.

Member Typedef Documentation

typedef vtkImageAlgorithm vtkShepardMethod::Superclass

Reimplemented from vtkImageAlgorithm.

Definition at line 51 of file vtkShepardMethod.h.

Constructor & Destructor Documentation

vtkShepardMethod::vtkShepardMethod ( ) [protected]

vtkShepardMethod::~vtkShepardMethod ( ) [inline, protected]

Definition at line 98 of file vtkShepardMethod.h.

Member Function Documentation

static int vtkShepardMethod::IsTypeOf ( const char * name ) [static]

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.

Reimplemented from vtkImageAlgorithm.

virtual int vtkShepardMethod::IsA ( const char * name ) [virtual]

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.

Reimplemented from vtkImageAlgorithm.

static vtkShepardMethod* vtkShepardMethod::SafeDownCast ( vtkObjectBase * o ) [static]

Reimplemented from vtkImageAlgorithm.

virtual vtkObjectBase* vtkShepardMethod::NewInstanceInternal ( ) const [protected, virtual]

Reimplemented from vtkImageAlgorithm.

vtkShepardMethod* vtkShepardMethod::NewInstance ( ) const

Reimplemented from vtkImageAlgorithm.

void vtkShepardMethod::PrintSelf	(	ostream &	os,
		vtkIndent	indent
	)		`[virtual]`

Methods invoked by print to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

Reimplemented from vtkImageAlgorithm.

static vtkShepardMethod* vtkShepardMethod::New ( ) [static]

Construct with sample dimensions=(50,50,50) and so that model bounds are automatically computed from input. Null value for each unvisited output point is 0.0. Maximum distance is 0.25.

Reimplemented from vtkAlgorithm.

double vtkShepardMethod::ComputeModelBounds	(	double	origin[3],
		double	ar[3]
	)

Compute ModelBounds from input geometry.

virtual int* vtkShepardMethod::GetSampleDimensions ( ) [virtual]

Specify i-j-k dimensions on which to sample input points.

virtual void vtkShepardMethod::GetSampleDimensions ( int data[3] ) [virtual]

Specify i-j-k dimensions on which to sample input points.

void vtkShepardMethod::SetSampleDimensions	(	int	i,
		int	j,
		int	k
	)

Set the i-j-k dimensions on which to sample the distance function.

void vtkShepardMethod::SetSampleDimensions ( int dim[3] )

Set the i-j-k dimensions on which to sample the distance function.

virtual void vtkShepardMethod::SetMaximumDistance ( double ) [virtual]

Specify influence distance of each input point. This distance is a fraction of the length of the diagonal of the sample space. Thus, values of 1.0 will cause each input point to influence all points in the structured point dataset. Values less than 1.0 can improve performance significantly.

virtual double vtkShepardMethod::GetMaximumDistance ( ) [virtual]

Specify influence distance of each input point. This distance is a fraction of the length of the diagonal of the sample space. Thus, values of 1.0 will cause each input point to influence all points in the structured point dataset. Values less than 1.0 can improve performance significantly.

virtual void vtkShepardMethod::SetModelBounds	(	double	,
		double	,
		double	,
		double	,
		double	,
		double
	)		`[virtual]`

Specify the position in space to perform the sampling.

virtual void vtkShepardMethod::SetModelBounds ( double [6] ) [virtual]

Specify the position in space to perform the sampling.

virtual double* vtkShepardMethod::GetModelBounds ( ) [virtual]

Specify the position in space to perform the sampling.

virtual void vtkShepardMethod::GetModelBounds ( double data[6] ) [virtual]

Specify the position in space to perform the sampling.

virtual void vtkShepardMethod::SetNullValue ( double ) [virtual]

Set the Null value for output points not receiving a contribution from the input points.

virtual double vtkShepardMethod::GetNullValue ( ) [virtual]

Set the Null value for output points not receiving a contribution from the input points.

virtual int vtkShepardMethod::RequestInformation	(	vtkInformation *	request,
		vtkInformationVector **	inputVector,
		vtkInformationVector *	outputVector
	)		`[protected, virtual]`

Subclasses can reimplement this method to collect information from their inputs and set information for their outputs.

Reimplemented from vtkImageAlgorithm.

virtual int vtkShepardMethod::RequestData	(	vtkInformation *	request,
		vtkInformationVector **	inputVector,
		vtkInformationVector *	outputVector
	)		`[protected, virtual]`

This is called in response to a REQUEST_DATA request from the executive. Subclasses should override either this method or the ExecuteDataWithInformation method in order to generate data for their outputs. For images, the output arrays will already be allocated, so all that is necessary is to fill in the voxel values.

Reimplemented from vtkImageAlgorithm.