cv::xfeatures2d::MSDDetector Class Reference

Class implementing the MSD (Maximal Self-Dissimilarity) keypoint detector, described in [255]. More...

#include <opencv2/xfeatures2d.hpp>

Inheritance diagram for cv::xfeatures2d::MSDDetector:

Public Member Functions
virtual bool	getComputeOrientation () const =0
String	getDefaultName () const CV_OVERRIDE
virtual int	getKNN () const =0
virtual int	getNmsRadius () const =0
virtual int	getNmsScaleRadius () const =0
virtual int	getNScales () const =0
virtual int	getPatchRadius () const =0
virtual float	getScaleFactor () const =0
virtual int	getSearchAreaRadius () const =0
virtual float	getThSaliency () const =0
virtual void	setComputeOrientation (bool compute_orientation)=0
virtual void	setKNN (int kNN)=0
virtual void	setNmsRadius (int nms_radius)=0
virtual void	setNmsScaleRadius (int nms_scale_radius)=0
virtual void	setNScales (int use_orientation)=0
virtual void	setPatchRadius (int patch_radius)=0
virtual void	setScaleFactor (float scale_factor)=0
virtual void	setSearchAreaRadius (int use_orientation)=0
virtual void	setThSaliency (float th_saliency)=0
Public Member Functions inherited from cv::Feature2D
virtual	~Feature2D ()
virtual void	compute (InputArray image, std::vector< KeyPoint > &keypoints, OutputArray descriptors)
	Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant). More...
virtual void	compute (InputArrayOfArrays images, std::vector< std::vector< KeyPoint > > &keypoints, OutputArrayOfArrays descriptors)
virtual int	defaultNorm () const
virtual int	descriptorSize () const
virtual int	descriptorType () const
virtual void	detect (InputArray image, std::vector< KeyPoint > &keypoints, InputArray mask=noArray())
	Detects keypoints in an image (first variant) or image set (second variant). More...
virtual void	detect (InputArrayOfArrays images, std::vector< std::vector< KeyPoint > > &keypoints, InputArrayOfArrays masks=noArray())
virtual void	detectAndCompute (InputArray image, InputArray mask, std::vector< KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false)
virtual bool	empty () const CV_OVERRIDE
	Return true if detector object is empty. More...
void	read (const String &fileName)
virtual void	read (const FileNode &) CV_OVERRIDE
	Reads algorithm parameters from a file storage. More...
void	write (const String &fileName) const
virtual void	write (FileStorage &) const CV_OVERRIDE
	Stores algorithm parameters in a file storage. More...
void	write (FileStorage &fs, const String &name) const
void	write (const Ptr< FileStorage > &fs, const String &name) const
Public Member Functions inherited from cv::Algorithm
	Algorithm ()
virtual	~Algorithm ()
virtual void	clear ()
	Clears the algorithm state. More...
virtual void	save (const String &filename) const
void	write (FileStorage &fs, const String &name) const
void	write (const Ptr< FileStorage > &fs, const String &name=String()) const

Static Public Member Functions
static Ptr< MSDDetector >	create (int m_patch_radius=3, int m_search_area_radius=5, int m_nms_radius=5, int m_nms_scale_radius=0, float m_th_saliency=250.0f, int m_kNN=4, float m_scale_factor=1.25f, int m_n_scales=-1, bool m_compute_orientation=false)
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 the MSD (Maximal Self-Dissimilarity) keypoint detector, described in [255].

The algorithm implements a novel interest point detector stemming from the intuition that image patches which are highly dissimilar over a relatively large extent of their surroundings hold the property of being repeatable and distinctive. This concept of "contextual self-dissimilarity" reverses the key paradigm of recent successful techniques such as the Local Self-Similarity descriptor and the Non-Local Means filter, which build upon the presence of similar - rather than dissimilar - patches. Moreover, it extends to contextual information the local self-dissimilarity notion embedded in established detectors of corner-like interest points, thereby achieving enhanced repeatability, distinctiveness and localization accuracy.

Member Function Documentation

create()

static Ptr<MSDDetector> cv::xfeatures2d::MSDDetector::create ( int  m_patch_radius = 3, int  m_search_area_radius = 5, int  m_nms_radius = 5, int  m_nms_scale_radius = 0, float  m_th_saliency = 250.0f, int  m_kNN = 4, float  m_scale_factor = 1.25f, int  m_n_scales = -1, bool  m_compute_orientation = false  )

static

Python:
	cv.xfeatures2d.MSDDetector.create(	[, m_patch_radius[, m_search_area_radius[, m_nms_radius[, m_nms_scale_radius[, m_th_saliency[, m_kNN[, m_scale_factor[, m_n_scales[, m_compute_orientation]]]]]]]]]	) ->	retval
	cv.xfeatures2d.MSDDetector_create(	[, m_patch_radius[, m_search_area_radius[, m_nms_radius[, m_nms_scale_radius[, m_th_saliency[, m_kNN[, m_scale_factor[, m_n_scales[, m_compute_orientation]]]]]]]]]	) ->	retval

getComputeOrientation()

virtual bool cv::xfeatures2d::MSDDetector::getComputeOrientation ( ) const

pure virtual

Python:
	cv.xfeatures2d.MSDDetector.getComputeOrientation(		) ->	retval

getDefaultName()

String cv::xfeatures2d::MSDDetector::getDefaultName ( ) const

virtual

Python:
	cv.xfeatures2d.MSDDetector.getDefaultName(		) ->	retval

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

Reimplemented from cv::Feature2D.

getKNN()

virtual int cv::xfeatures2d::MSDDetector::getKNN ( ) const

pure virtual

Python:
	cv.xfeatures2d.MSDDetector.getKNN(		) ->	retval

getNmsRadius()

virtual int cv::xfeatures2d::MSDDetector::getNmsRadius ( ) const

pure virtual

Python:
	cv.xfeatures2d.MSDDetector.getNmsRadius(		) ->	retval

getNmsScaleRadius()

virtual int cv::xfeatures2d::MSDDetector::getNmsScaleRadius ( ) const

pure virtual

Python:
	cv.xfeatures2d.MSDDetector.getNmsScaleRadius(		) ->	retval

getNScales()

virtual int cv::xfeatures2d::MSDDetector::getNScales ( ) const

pure virtual

Python:
	cv.xfeatures2d.MSDDetector.getNScales(		) ->	retval

getPatchRadius()

virtual int cv::xfeatures2d::MSDDetector::getPatchRadius ( ) const

pure virtual

Python:
	cv.xfeatures2d.MSDDetector.getPatchRadius(		) ->	retval

getScaleFactor()

virtual float cv::xfeatures2d::MSDDetector::getScaleFactor ( ) const

pure virtual

Python:
	cv.xfeatures2d.MSDDetector.getScaleFactor(		) ->	retval

getSearchAreaRadius()

virtual int cv::xfeatures2d::MSDDetector::getSearchAreaRadius ( ) const

pure virtual

Python:
	cv.xfeatures2d.MSDDetector.getSearchAreaRadius(		) ->	retval

getThSaliency()

virtual float cv::xfeatures2d::MSDDetector::getThSaliency ( ) const

pure virtual

Python:
	cv.xfeatures2d.MSDDetector.getThSaliency(		) ->	retval

setComputeOrientation()

virtual void cv::xfeatures2d::MSDDetector::setComputeOrientation ( bool  compute_orientation )

pure virtual

Python:
	cv.xfeatures2d.MSDDetector.setComputeOrientation(	compute_orientation	) ->	None

setKNN()

virtual void cv::xfeatures2d::MSDDetector::setKNN ( int  kNN )

pure virtual

Python:
	cv.xfeatures2d.MSDDetector.setKNN(	kNN	) ->	None

setNmsRadius()

virtual void cv::xfeatures2d::MSDDetector::setNmsRadius ( int  nms_radius )

pure virtual

Python:
	cv.xfeatures2d.MSDDetector.setNmsRadius(	nms_radius	) ->	None

setNmsScaleRadius()

virtual void cv::xfeatures2d::MSDDetector::setNmsScaleRadius ( int  nms_scale_radius )

pure virtual

Python:
	cv.xfeatures2d.MSDDetector.setNmsScaleRadius(	nms_scale_radius	) ->	None

setNScales()

virtual void cv::xfeatures2d::MSDDetector::setNScales ( int  use_orientation )

pure virtual

Python:
	cv.xfeatures2d.MSDDetector.setNScales(	use_orientation	) ->	None

setPatchRadius()

virtual void cv::xfeatures2d::MSDDetector::setPatchRadius ( int  patch_radius )

pure virtual

Python:
	cv.xfeatures2d.MSDDetector.setPatchRadius(	patch_radius	) ->	None

setScaleFactor()

virtual void cv::xfeatures2d::MSDDetector::setScaleFactor ( float  scale_factor )

pure virtual

Python:
	cv.xfeatures2d.MSDDetector.setScaleFactor(	scale_factor	) ->	None

setSearchAreaRadius()

virtual void cv::xfeatures2d::MSDDetector::setSearchAreaRadius ( int  use_orientation )

pure virtual

Python:
	cv.xfeatures2d.MSDDetector.setSearchAreaRadius(	use_orientation	) ->	None

setThSaliency()

virtual void cv::xfeatures2d::MSDDetector::setThSaliency ( float  th_saliency )

pure virtual

Python:
	cv.xfeatures2d.MSDDetector.setThSaliency(	th_saliency	) ->	None

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

• opencv2/xfeatures2d.hpp