OpenCV  4.1.2-dev
Open Source Computer Vision
Public Member Functions | Static Public Member Functions | List of all members
cv::xfeatures2d::PCTSignaturesSQFD Class Referenceabstract

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

#include <opencv2/xfeatures2d.hpp>

Inheritance diagram for cv::xfeatures2d::PCTSignaturesSQFD:
cv::Algorithm

Public Member Functions

virtual float computeQuadraticFormDistance (InputArray _signature0, InputArray _signature1) const =0
 Computes Signature Quadratic Form Distance of two signatures. More...
 
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. More...
 
- Public Member Functions inherited from cv::Algorithm
 Algorithm ()
 
virtual ~Algorithm ()
 
virtual void clear ()
 Clears the algorithm state. More...
 
virtual bool empty () const
 Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. More...
 
virtual String getDefaultName () const
 
virtual void read (const FileNode &fn)
 Reads algorithm parameters from a file storage. More...
 
virtual void save (const String &filename) const
 
virtual void write (FileStorage &fs) const
 Stores algorithm parameters in a file storage. More...
 
void write (const Ptr< FileStorage > &fs, const String &name=String()) const
 simplified API for language bindings This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More...
 

Static Public Member Functions

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

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. [13]

Member Function Documentation

◆ computeQuadraticFormDistance()

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
_signature0The first signature.
_signature1The second signature.

◆ computeQuadraticFormDistances()

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
sourceSignatureThe signature to measure distance of other signatures from.
imageSignaturesVector of signatures to measure distance from the source signature.
distancesOutput vector of measured distances.

◆ create()

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
distanceFunctionDistance function selector. Default: L2 Available: L0_25, L0_5, L1, L2, L2SQUARED, L5, L_INFINITY
similarityFunctionSimilarity function selector. Default: HEURISTIC Available: MINUS, GAUSSIAN, HEURISTIC
similarityParameterParameter of the similarity function.

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