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vtkShepardMethod Class Reference
sample unstructured points onto structured points using the method of Shepard.
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#include <vtkShepardMethod.h>
Inheritance diagram for vtkShepardMethod:
[legend]Collaboration diagram for vtkShepardMethod:
[legend]List of all members.
Detailed Description
sample unstructured points onto structured points using the method of Shepard.
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Date:
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2001/10/11 13:37:56
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Revision:
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1.35
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.
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Warning:
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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.
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Warning:
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The bounds of the data (i.e., the sample space) is automatically computed if not set by the user.
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Warning:
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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.
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Tests:
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vtkShepardMethod (Tests)
Definition at line 75 of file vtkShepardMethod.h.
Constructor & Destructor Documentation
| vtkShepardMethod::vtkShepardMethod |
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[protected] |
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| vtkShepardMethod::~vtkShepardMethod |
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[inline, protected] |
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Member Function Documentation
| virtual const char* vtkShepardMethod::GetClassName |
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[virtual] |
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| int vtkShepardMethod::IsTypeOf |
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const char * |
type |
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[static] |
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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 vtkDataSetToStructuredPointsFilter. |
| virtual int vtkShepardMethod::IsA |
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const char * |
type |
) |
[virtual] |
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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 vtkDataSetToStructuredPointsFilter. |
| vtkShepardMethod* vtkShepardMethod::SafeDownCast |
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vtkObject * |
o |
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[static] |
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| void vtkShepardMethod::PrintSelf |
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ostream & |
os, |
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vtkIndent |
indent |
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[virtual] |
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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 vtkSource. |
| vtkShepardMethod* vtkShepardMethod::New |
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[static] |
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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 vtkStructuredPointsSource. |
| float vtkShepardMethod::ComputeModelBounds |
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float |
origin[3], |
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float |
ar[3] |
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Compute ModelBounds from input geometry. |
| virtual int* vtkShepardMethod::GetSampleDimensions |
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[virtual] |
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Specify i-j-k dimensions on which to sample input points. |
| virtual void vtkShepardMethod::GetSampleDimensions |
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int |
data[3] |
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[virtual] |
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Specify i-j-k dimensions on which to sample input points. |
| void vtkShepardMethod::SetSampleDimensions |
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int |
i, |
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int |
j, |
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int |
k |
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Set the i-j-k dimensions on which to sample the distance function. |
| void vtkShepardMethod::SetSampleDimensions |
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int |
dim[3] |
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Set the i-j-k dimensions on which to sample the distance function. |
| virtual void vtkShepardMethod::SetMaximumDistance |
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float |
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[virtual] |
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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 |
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[virtual] |
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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 |
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float |
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float |
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float |
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float |
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float |
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float |
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[virtual] |
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Specify the position in space to perform the sampling. |
| virtual void vtkShepardMethod::SetModelBounds |
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float |
[6] |
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[virtual] |
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Specify the position in space to perform the sampling. |
| virtual float* vtkShepardMethod::GetModelBounds |
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[virtual] |
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Specify the position in space to perform the sampling. |
| virtual void vtkShepardMethod::GetModelBounds |
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float |
data[6] |
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[virtual] |
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Specify the position in space to perform the sampling. |
| virtual void vtkShepardMethod::SetNullValue |
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float |
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[virtual] |
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Set the Null value for output points not receiving a contribution from the input points. |
| virtual float vtkShepardMethod::GetNullValue |
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[virtual] |
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Set the Null value for output points not receiving a contribution from the input points. |
| void vtkShepardMethod::Execute |
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[protected, virtual] |
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This method is the old style execute method
Reimplemented from vtkSource. |
Member Data Documentation
int vtkShepardMethod::SampleDimensions[3] [protected]
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float vtkShepardMethod::MaximumDistance [protected]
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float vtkShepardMethod::ModelBounds[6] [protected]
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float vtkShepardMethod::NullValue [protected]
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The documentation for this class was generated from the following file:
Generated on Thu Mar 28 14:42:31 2002 for VTK by
1.2.11.1 written by Dimitri van Heesch,
© 1997-2001