Class cv::xfeatures2d::PCTSignaturesSQFD#

Class implementing Signature Quadratic Form Distance (SQFD). View details

Collaboration diagram for cv::xfeatures2d::PCTSignaturesSQFD:

Public Member Functions#

Public Member Functions inherited from cv::Algorithm

Return

Name

Description

Algorithm()

~Algorithm()

void

clear()

Clears the algorithm state.

bool

empty()

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.

String

getDefaultName()

void

read(const FileNode & fn)

Reads algorithm parameters from a file storage.

void

save(const String & filename)

void

write(
    const Ptr< FileStorage > & fs,
    const String & name = String() )

void

write(FileStorage & fs)

Stores algorithm parameters in a file storage.

void

write(
    FileStorage & fs,
    const String & name )

Static Public Member Functions#

Static Public Member Functions inherited from cv::Algorithm

Return

Name

Description

static Ptr< _Tp >

load(
    const String & filename,
    const String & objname = String() )

Loads algorithm from the file.

static Ptr< _Tp >

loadFromString(
    const String & strModel,
    const String & objname = String() )

Loads algorithm from a String.

static Ptr< _Tp >

read(const FileNode & fn)

Reads algorithm from the file node.

Additional Inherited Members#

Protected Member Functions inherited from cv::Algorithm

Return

Name

Description

void

writeFormat(FileStorage & fs)

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#

create()#

static Ptr< PCTSignaturesSQFD > cv::xfeatures2d::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.

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.

computeQuadraticFormDistance()#

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

Computes Signature Quadratic Form Distance of two signatures.

Parameters

  • _signature0 — The first signature.

  • _signature1 — The second signature.

computeQuadraticFormDistances()#

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

Source file#

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