#include <vtkShepardMethod.h>
Inheritance diagram for vtkShepardMethod:
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.
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.
Definition at line 47 of file vtkShepardMethod.h.
Public Types | |
| typedef vtkImageAlgorithm | Superclass |
Public Member Functions | |
| virtual const char * | GetClassName () |
| virtual int | IsA (const char *type) |
| void | PrintSelf (ostream &os, vtkIndent indent) |
| void | SetSampleDimensions (int i, int j, int k) |
| double | ComputeModelBounds (double origin[3], double ar[3]) |
| virtual int * | GetSampleDimensions () |
| virtual void | GetSampleDimensions (int data[3]) |
| void | SetSampleDimensions (int dim[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 (vtkObject *o) |
| static vtkShepardMethod * | New () |
Protected Member Functions | |
| 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 |
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Reimplemented from vtkImageAlgorithm. Definition at line 50 of file vtkShepardMethod.h. |
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Definition at line 97 of file vtkShepardMethod.h. |
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Reimplemented from vtkImageAlgorithm. |
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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 vtkTypeRevisionMacro found in vtkSetGet.h. Reimplemented from vtkImageAlgorithm. |
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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 vtkTypeRevisionMacro found in vtkSetGet.h. Reimplemented from vtkImageAlgorithm. |
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Reimplemented from vtkImageAlgorithm. |
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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 vtkImageAlgorithm. |
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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 vtkAlgorithm. |
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Compute ModelBounds from input geometry. |
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Specify i-j-k dimensions on which to sample input points. |
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Compute ModelBounds from input geometry. |
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Set the i-j-k dimensions on which to sample the distance function. |
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Set the i-j-k dimensions on which to sample the distance function. |
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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. |
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Set the i-j-k dimensions on which to sample the distance function. |
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Specify the position in space to perform the sampling. |
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Specify the position in space to perform the sampling. |
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Specify the position in space to perform the sampling. |
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Specify the position in space to perform the sampling. |
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Set the Null value for output points not receiving a contribution from the input points. |
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Set the Null value for output points not receiving a contribution from the input points. |
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Reimplemented from vtkImageAlgorithm. |
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This is called by the superclass. This is the method you should override. Reimplemented from vtkImageAlgorithm. |
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Fill the input port information objects for this algorithm. This is invoked by the first call to GetInputPortInformation for each port so subclasses can specify what they can handle. Reimplemented from vtkImageAlgorithm. |
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Definition at line 111 of file vtkShepardMethod.h. |
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Definition at line 112 of file vtkShepardMethod.h. |
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Definition at line 113 of file vtkShepardMethod.h. |
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Definition at line 114 of file vtkShepardMethod.h. |
1.4.3-20050530