cv::ShapeTransformer Class Reference

Abstract base class for shape transformation algorithms. More...

#include <opencv2/shape/shape_transformer.hpp>

Collaboration diagram for cv::ShapeTransformer:

Public Member Functions
virtual float	applyTransformation (InputArray input, OutputArray output=noArray())=0
	Apply a transformation, given a pre-estimated transformation parameters.
virtual 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 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.
Public Member Functions inherited from cv::Algorithm
	Algorithm ()
virtual	~Algorithm ()
virtual void	clear ()
	Clears the algorithm state.
virtual bool	empty () const
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
virtual String	getDefaultName () const
virtual void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage.
virtual void	save (const String &filename) const
virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage.
void	write (FileStorage &fs, const String &name) const

Additional Inherited Members
Static Public Member Functions inherited from cv::Algorithm
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.
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node.
Protected Member Functions inherited from cv::Algorithm
void	writeFormat (FileStorage &fs) const

Detailed Description

Abstract base class for shape transformation algorithms.

Member Function Documentation

applyTransformation()

virtual float cv::ShapeTransformer::applyTransformation ( InputArray input, OutputArray output = noArray() )

pure virtual

Python:
	cv.ShapeTransformer.applyTransformation(	input[, output]	) ->	retval, output

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

Parameters

input	Contour (set of points) to apply the transformation.
output	Output contour.

Here is the call graph for this function:

estimateTransformation()

virtual void cv::ShapeTransformer::estimateTransformation ( InputArray transformingShape, InputArray targetShape, std::vector< DMatch > & matches )

pure virtual

Python:
	cv.ShapeTransformer.estimateTransformation(	transformingShape, targetShape, matches	) ->	None

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

Parameters

transformingShape	Contour defining first shape.
targetShape	Contour defining second shape (Target).
matches	Standard vector of Matches between points.

warpImage()

virtual void cv::ShapeTransformer::warpImage ( InputArray transformingImage, OutputArray output, int flags = INTER_LINEAR, int borderMode = BORDER_CONSTANT, const Scalar & borderValue = Scalar() ) const

pure virtual

Python:
	cv.ShapeTransformer.warpImage(	transformingImage[, output[, flags[, borderMode[, borderValue]]]]	) ->	output

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

Parameters

transformingImage	Input image.
output	Output image.
flags	Image interpolation method.
borderMode	border style.
borderValue	border value.

---

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

• opencv2/shape/shape_transformer.hpp