Class implementing Signature Quadratic Form Distance (SQFD).
More...
#include "xfeatures2d.hpp"
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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. More...
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template<typename _Tp > |
static Ptr< _Tp > | load (const String &filename, const String &objname=String()) |
| Loads algorithm from the file. More...
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template<typename _Tp > |
static Ptr< _Tp > | loadFromString (const String &strModel, const String &objname=String()) |
| Loads algorithm from a String. More...
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template<typename _Tp > |
static Ptr< _Tp > | read (const FileNode &fn) |
| Reads algorithm from the file node. More...
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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. [12]
§ computeQuadraticFormDistance()
virtual float cv::xfeatures2d::PCTSignaturesSQFD::computeQuadraticFormDistance |
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InputArray |
_signature0, |
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InputArray |
_signature1 |
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pure virtual |
Python: |
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| retval | = | cv.xfeatures2d_PCTSignaturesSQFD.computeQuadraticFormDistance( | _signature0, _signature1 | ) |
Computes Signature Quadratic Form Distance of two signatures.
- Parameters
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_signature0 | The first signature. |
_signature1 | The second signature. |
§ computeQuadraticFormDistances()
virtual void cv::xfeatures2d::PCTSignaturesSQFD::computeQuadraticFormDistances |
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const Mat & |
sourceSignature, |
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const std::vector< Mat > & |
imageSignatures, |
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std::vector< float > & |
distances |
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pure virtual |
Python: |
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| 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
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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. |
§ create()
static Ptr<PCTSignaturesSQFD> cv::xfeatures2d::PCTSignaturesSQFD::create |
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const int |
distanceFunction = 3 , |
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const int |
similarityFunction = 2 , |
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const float |
similarityParameter = 1.0f |
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Python: |
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| retval | = | cv.xfeatures2d.PCTSignaturesSQFD_create( | [, distanceFunction[, similarityFunction[, similarityParameter]]] | ) |
Creates the algorithm instance using selected distance function, similarity function and similarity function parameter.
- Parameters
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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:
- /build/master-contrib_docs-lin64/opencv_contrib/modules/xfeatures2d/include/opencv2/xfeatures2d.hpp