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vtkShepardMethod Class Reference

#include <vtkShepardMethod.h>

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Detailed Description

sample unstructured points onto structured points using the method of Shepard

Date:
2002/06/17 20:25:55
Revision:
1.38

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.
Warning:
The bounds of the data (i.e., the sample space) is automatically computed if not set by the user.
Warning:
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.
Created by:
  • Schroeder, Will
CVS contributions (if > 5%):
  • Schroeder, Will (65%)
  • Martin, Ken (15%)
  • Lorensen, Bill (9%)
CVS logs (CVSweb):
  • .h (/Imaging/vtkShepardMethod.h)
  • .cxx (/Imaging/vtkShepardMethod.cxx)
Tests:
vtkShepardMethod (Tests)

Definition at line 63 of file vtkShepardMethod.h.

Public Types

typedef vtkDataSetToImageFilter Superclass

Public Methods

virtual const char * GetClassName ()
virtual int IsA (const char *type)
void PrintSelf (ostream &os, vtkIndent indent)
float ComputeModelBounds (float origin[3], float 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 (float)
virtual float GetMaximumDistance ()
virtual void SetModelBounds (float, float, float, float, float, float)
virtual void SetModelBounds (float[6])
virtual float * GetModelBounds ()
virtual void GetModelBounds (float data[6])
virtual void SetNullValue (float)
virtual float GetNullValue ()

Static Public Methods

int IsTypeOf (const char *type)
vtkShepardMethod * SafeDownCast (vtkObject *o)
vtkShepardMethod * New ()

Protected Methods

 vtkShepardMethod ()
 ~vtkShepardMethod ()
virtual void ExecuteInformation ()
virtual void ExecuteData (vtkDataObject *)

Protected Attributes

int SampleDimensions [3]
float MaximumDistance
float ModelBounds [6]
float NullValue


Member Typedef Documentation

typedef vtkDataSetToImageFilter vtkShepardMethod::Superclass
 

Reimplemented from vtkDataSetToImageFilter.

Definition at line 66 of file vtkShepardMethod.h.


Constructor & Destructor Documentation

vtkShepardMethod::vtkShepardMethod   [protected]
 

vtkShepardMethod::~vtkShepardMethod   [inline, protected]
 

Definition at line 113 of file vtkShepardMethod.h.


Member Function Documentation

virtual const char* vtkShepardMethod::GetClassName   [virtual]
 

Reimplemented from vtkDataSetToImageFilter.

int vtkShepardMethod::IsTypeOf const char *    type [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 vtkTypeRevisionMacro found in vtkSetGet.h.

Reimplemented from vtkDataSetToImageFilter.

virtual int vtkShepardMethod::IsA const char *    type [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 vtkTypeRevisionMacro found in vtkSetGet.h.

Reimplemented from vtkDataSetToImageFilter.

vtkShepardMethod* vtkShepardMethod::SafeDownCast vtkObject   o [static]
 

Reimplemented from vtkDataSetToImageFilter.

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 vtkDataSetToImageFilter.

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 vtkObject.

float vtkShepardMethod::ComputeModelBounds float    origin[3],
float    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 float    [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 float 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 float   ,
float   ,
float   ,
float   ,
float   ,
float   
[virtual]
 

Specify the position in space to perform the sampling.

virtual void vtkShepardMethod::SetModelBounds float   [6] [virtual]
 

Specify the position in space to perform the sampling.

virtual float* vtkShepardMethod::GetModelBounds   [virtual]
 

Specify the position in space to perform the sampling.

virtual void vtkShepardMethod::GetModelBounds float    data[6] [virtual]
 

Specify the position in space to perform the sampling.

virtual void vtkShepardMethod::SetNullValue float    [virtual]
 

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

virtual float vtkShepardMethod::GetNullValue   [virtual]
 

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

virtual void vtkShepardMethod::ExecuteInformation   [protected, virtual]
 

Reimplemented from vtkSource.

virtual void vtkShepardMethod::ExecuteData vtkDataObject   [protected, virtual]
 


Member Data Documentation

int vtkShepardMethod::SampleDimensions[3] [protected]
 

Definition at line 118 of file vtkShepardMethod.h.

float vtkShepardMethod::MaximumDistance [protected]
 

Definition at line 119 of file vtkShepardMethod.h.

float vtkShepardMethod::ModelBounds[6] [protected]
 

Definition at line 120 of file vtkShepardMethod.h.

float vtkShepardMethod::NullValue [protected]
 

Definition at line 121 of file vtkShepardMethod.h.


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