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ThinPlateSplineShapeTransformer Class Reference

ThinPlateSplineShapeTransformer Class Reference
[Shape Distance and Matching]

Definition of the transformation. More...

#include <shape_transformer.hpp>

Inherits cv::ShapeTransformer.

Public Member Functions

virtual CV_WRAP void setRegularizationParameter (double beta)=0
 Set the regularization parameter for relaxing the exact interpolation requirements of the TPS algorithm.
virtual CV_WRAP void estimateTransformation (InputArray transformingShape, InputArray targetShape, std::vector< DMatch > &matches)=0
 Estimate the transformation parameters of the current transformer algorithm, based on point matches.
virtual CV_WRAP float applyTransformation (InputArray input, OutputArray output=noArray())=0
 Apply a transformation, given a pre-estimated transformation parameters.
virtual CV_WRAP void warpImage (InputArray transformingImage, OutputArray output, int flags=INTER_LINEAR, int borderMode=BORDER_CONSTANT, const Scalar &borderValue=Scalar()) const =0
 Apply a transformation, given a pre-estimated transformation parameters, to an Image.
virtual CV_WRAP void clear ()
 Clears the algorithm state.
virtual void write (FileStorage &fs) const
 Stores algorithm parameters in a file storage.
virtual void read (const FileNode &fn)
 Reads algorithm parameters from a file storage.
virtual bool empty () const
 Returns true if the Algorithm is empty (e.g.
virtual CV_WRAP void save (const String &filename) const
 Saves the algorithm to a file.
virtual CV_WRAP String getDefaultName () const
 Returns the algorithm string identifier.

Static Public Member Functions

template<typename _Tp >
static Ptr< _Tp > read (const FileNode &fn)
 Reads algorithm from the file node.
template<typename _Tp >
static Ptr< _Tp > load (const String &filename, const String &objname=String())
 Loads algorithm from the file.
template<typename _Tp >
static Ptr< _Tp > loadFromString (const String &strModel, const String &objname=String())
 Loads algorithm from a String.

Detailed Description

Definition of the transformation.

ocupied in the paper "Principal Warps: Thin-Plate Splines and Decomposition of Deformations", by F.L. Bookstein (PAMI 1989). :

Definition at line 98 of file shape_transformer.hpp.


Member Function Documentation

virtual CV_WRAP float applyTransformation ( InputArray  input,
OutputArray  output = noArray() 
) [pure virtual, inherited]

Apply a transformation, given a pre-estimated transformation parameters.

Parameters:
inputContour (set of points) to apply the transformation.
outputOutput contour.
virtual CV_WRAP void clear (  ) [virtual, inherited]

Clears the algorithm state.

Reimplemented in DescriptorMatcher, and FlannBasedMatcher.

Definition at line 2984 of file core.hpp.

virtual bool empty (  ) const [virtual, inherited]

Returns true if the Algorithm is empty (e.g.

in the very beginning or after unsuccessful read

Reimplemented in Feature2D, DescriptorMatcher, and StatModel.

Definition at line 2996 of file core.hpp.

virtual CV_WRAP void estimateTransformation ( InputArray  transformingShape,
InputArray  targetShape,
std::vector< DMatch > &  matches 
) [pure virtual, inherited]

Estimate the transformation parameters of the current transformer algorithm, based on point matches.

Parameters:
transformingShapeContour defining first shape.
targetShapeContour defining second shape (Target).
matchesStandard vector of Matches between points.
virtual CV_WRAP String getDefaultName (  ) const [virtual, inherited]

Returns the algorithm string identifier.

This string is used as top level xml/yml node tag when the object is saved to a file or string.

static Ptr<_Tp> load ( const String &  filename,
const String &  objname = String() 
) [static, inherited]

Loads algorithm from the file.

Parameters:
filenameName of the file to read.
objnameThe optional name of the node to read (if empty, the first top-level node will be used)

This is static template method of Algorithm. It's usage is following (in the case of SVM):

     Ptr<SVM> svm = Algorithm::load<SVM>("my_svm_model.xml");

In order to make this method work, the derived class must overwrite Algorithm::read(const FileNode& fn).

Definition at line 3027 of file core.hpp.

static Ptr<_Tp> loadFromString ( const String &  strModel,
const String &  objname = String() 
) [static, inherited]

Loads algorithm from a String.

Parameters:
strModelThe string variable containing the model you want to load.
objnameThe optional name of the node to read (if empty, the first top-level node will be used)

This is static template method of Algorithm. It's usage is following (in the case of SVM):

     Ptr<SVM> svm = Algorithm::loadFromString<SVM>(myStringModel);

Definition at line 3046 of file core.hpp.

virtual void read ( const FileNode fn ) [virtual, inherited]

Reads algorithm parameters from a file storage.

Reimplemented in DescriptorMatcher, and FlannBasedMatcher.

Definition at line 2992 of file core.hpp.

static Ptr<_Tp> read ( const FileNode fn ) [static, inherited]

Reads algorithm from the file node.

This is static template method of Algorithm. It's usage is following (in the case of SVM):

     Ptr<SVM> svm = Algorithm::read<SVM>(fn);

In order to make this method work, the derived class must overwrite Algorithm::read(const FileNode& fn) and also have static create() method without parameters (or with all the optional parameters)

Reimplemented in DescriptorMatcher, and FlannBasedMatcher.

Definition at line 3008 of file core.hpp.

virtual CV_WRAP void save ( const String &  filename ) const [virtual, inherited]

Saves the algorithm to a file.

In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

virtual CV_WRAP void setRegularizationParameter ( double  beta ) [pure virtual]

Set the regularization parameter for relaxing the exact interpolation requirements of the TPS algorithm.

Parameters:
betavalue of the regularization parameter.
virtual CV_WRAP void warpImage ( InputArray  transformingImage,
OutputArray  output,
int  flags = INTER_LINEAR,
int  borderMode = BORDER_CONSTANT,
const Scalar borderValue = Scalar() 
) const [pure virtual, inherited]

Apply a transformation, given a pre-estimated transformation parameters, to an Image.

Parameters:
transformingImageInput image.
outputOutput image.
flagsImage interpolation method.
borderModeborder style.
borderValueborder value.
virtual void write ( FileStorage fs ) const [virtual, inherited]

Stores algorithm parameters in a file storage.

Reimplemented in DescriptorMatcher, and FlannBasedMatcher.

Definition at line 2988 of file core.hpp.