Class implementing the MSD (Maximal Self-Dissimilarity) keypoint detector, described in [212]. More...

#include <opencv2/xfeatures2d.hpp>

Inheritance diagram for cv::xfeatures2d::MSDDetector:

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
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...

virtual String	getDefaultName () const CV_OVERRIDE

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

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 [212].

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

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

opencv2/xfeatures2d.hpp

Static Public Member Functions

Additional Inherited Members

Detailed Description

Member Function Documentation

◆ create()