Documentation for vtkShepardMethod

vtkShepardMethod - sample unstructured points onto structured points using the method of Shepard

Super Class: vtkDataSetToStructuredPointsFilter

Description:

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 can be used visualize the structured points.

 

Caveats:

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.

 

Methods:

void vtkShepardMethod ()
const char *GetClassName ()
void PrintSelf (unknown & ,vtkIndent )
static vtkShepardMethod *New ()
float ComputeModelBounds (float ,float )
int *GetSampleDimensions ()
void SetSampleDimensions (int ,int ,int )
void SetSampleDimensions (int )
void SetMaximumDistance (float )
float GetMaximumDistance ()
void SetModelBounds (float ,float ,float ,float ,float ,float )
void SetModelBounds (float *)
float *GetModelBounds ()
void SetNullValue (float )
float GetNullValue ()
void Execute ()

 

Detailed Method Descriptions:

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.

static vtkShepardMethod *New ()

Compute ModelBounds from input geometry.

float ComputeModelBounds (float ,float )

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

int *GetSampleDimensions ()

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

void SetSampleDimensions (int ,int ,int )
void SetSampleDimensions (int )

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.

void SetMaximumDistance (float )
float GetMaximumDistance ()

Specify the position in space to perform the sampling.

void SetModelBounds (float ,float ,float ,float ,float ,float )
void SetModelBounds (float *)
float *GetModelBounds ()

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

void SetNullValue (float )
float GetNullValue ()