Class implementing Signature Quadratic Form Distance (SQFD). More...

#include <opencv2/xfeatures2d.hpp>

Inheritance diagram for cv::xfeatures2d::PCTSignaturesSQFD:

Public Member Functions
virtual float	computeQuadraticFormDistance (InputArray _signature0, InputArray _signature1) const =0
	Computes Signature Quadratic Form Distance of two signatures.

virtual void	computeQuadraticFormDistances (const Mat &sourceSignature, const std::vector< Mat > &imageSignatures, std::vector< float > &distances) const =0
	Computes Signature Quadratic Form Distance between the reference signature and each of the other image signatures.

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 (const Ptr< FileStorage > &fs, const String &name=String()) const
	simplified API for language bindingsThis is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Static Public Member Functions
static Ptr< PCTSignaturesSQFD >	create (const int distanceFunction=3, const int similarityFunction=2, const float similarityParameter=1.0f)
	Creates the algorithm instance using selected distance function, similarity function and similarity function parameter.

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.

Additional Inherited Members
Protected Member Functions inherited from cv::Algorithm
void	writeFormat (FileStorage &fs) const

Detailed Description

Class implementing Signature Quadratic Form Distance (SQFD).

See Also: Christian Beecks, Merih Seran Uysal, Thomas Seidl. Signature quadratic form distance. In Proceedings of the ACM International Conference on Image and Video Retrieval, pages 438-445. ACM, 2010. BeecksUS10

Member Function Documentation

virtual float cv::xfeatures2d::PCTSignaturesSQFD::computeQuadraticFormDistance	(	InputArray	_signature0,
		InputArray	_signature1
	)		const

pure virtual

Python:
	retval	=	cv.xfeatures2d_PCTSignaturesSQFD.computeQuadraticFormDistance(	_signature0, _signature1	)

Computes Signature Quadratic Form Distance of two signatures.

Parameters

_signature0	The first signature.
_signature1	The second signature.

virtual void cv::xfeatures2d::PCTSignaturesSQFD::computeQuadraticFormDistances	(	const Mat &	sourceSignature,
		const std::vector< Mat > &	imageSignatures,
		std::vector< float > &	distances
	)		const

pure virtual

Python:
	None	=	cv.xfeatures2d_PCTSignaturesSQFD.computeQuadraticFormDistances(	sourceSignature, imageSignatures, distances	)

Computes Signature Quadratic Form Distance between the reference signature and each of the other image signatures.

Parameters

sourceSignature	The signature to measure distance of other signatures from.
imageSignatures	Vector of signatures to measure distance from the source signature.
distances	Output vector of measured distances.

static Ptr<PCTSignaturesSQFD> cv::xfeatures2d::PCTSignaturesSQFD::create	(	const int	distanceFunction = `3`,
		const int	similarityFunction = `2`,
		const float	similarityParameter = `1.0f`
	)

static

Python:
	retval	=	cv.xfeatures2d.PCTSignaturesSQFD_create(	[, distanceFunction[, similarityFunction[, similarityParameter]]]	)

Creates the algorithm instance using selected distance function, similarity function and similarity function parameter.

Parameters

distanceFunction	Distance function selector. Default: L2 Available: L0_25, L0_5, L1, L2, L2SQUARED, L5, L_INFINITY
similarityFunction	Similarity function selector. Default: HEURISTIC Available: MINUS, GAUSSIAN, HEURISTIC
similarityParameter	Parameter of the similarity function.

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