Class implementing the Harris-Laplace feature detector as described in [193]. More...

#include <opencv2/xfeatures2d.hpp>

Collaboration diagram for cv::xfeatures2d::HarrisLaplaceFeatureDetector:

Public Member Functions
virtual float	getCornThresh () const =0

String	getDefaultName () const CV_OVERRIDE

virtual float	getDOGThresh () const =0

virtual int	getMaxCorners () const =0

virtual int	getNumLayers () const =0

virtual int	getNumOctaves () const =0

virtual void	setCornThresh (float corn_thresh_)=0

virtual void	setDOGThresh (float DOG_thresh_)=0

virtual void	setMaxCorners (int maxCorners_)=0

virtual void	setNumLayers (int num_layers_)=0

virtual void	setNumOctaves (int numOctaves_)=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).

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).

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.

virtual void	read (const FileNode &) CV_OVERRIDE
	Reads algorithm parameters from a file storage.

void	read (const String &fileName)

void	write (const String &fileName) const

virtual void	write (FileStorage &) const CV_OVERRIDE
	Stores algorithm parameters in a file storage.

void	write (FileStorage &fs, const String &name) const

Public Member Functions inherited from cv::Algorithm
	Algorithm ()

virtual	~Algorithm ()

virtual void	clear ()
	Clears the algorithm state.

virtual void	save (const String &filename) const

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

void	write (FileStorage &fs, const String &name) const

Static Public Member Functions
static Ptr< HarrisLaplaceFeatureDetector >	create (int numOctaves=6, float corn_thresh=0.01f, float DOG_thresh=0.01f, int maxCorners=5000, int num_layers=4)
	Creates a new implementation instance.

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.

template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String.

template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node.

Additional Inherited Members
Protected Member Functions inherited from cv::Algorithm
void	writeFormat (FileStorage &fs) const

Detailed Description

Class implementing the Harris-Laplace feature detector as described in [193].

Member Function Documentation

◆ create()

static Ptr< HarrisLaplaceFeatureDetector > cv::xfeatures2d::HarrisLaplaceFeatureDetector::create	(	int	numOctaves = `6`,
		float	corn_thresh = `0.01f`,
		float	DOG_thresh = `0.01f`,
		int	maxCorners = `5000`,
		int	num_layers = `4`
	)

static

Python:
	cv.xfeatures2d.HarrisLaplaceFeatureDetector.create(	[, numOctaves[, corn_thresh[, DOG_thresh[, maxCorners[, num_layers]]]]]	) ->	retval
	cv.xfeatures2d.HarrisLaplaceFeatureDetector_create(	[, numOctaves[, corn_thresh[, DOG_thresh[, maxCorners[, num_layers]]]]]	) ->	retval

Creates a new implementation instance.

Parameters

numOctaves	the number of octaves in the scale-space pyramid
corn_thresh	the threshold for the Harris cornerness measure
DOG_thresh	the threshold for the Difference-of-Gaussians scale selection
maxCorners	the maximum number of corners to consider
num_layers	the number of intermediate scales per octave

◆ getCornThresh()

virtual float cv::xfeatures2d::HarrisLaplaceFeatureDetector::getCornThresh ( ) const

pure virtual

Python:
	cv.xfeatures2d.HarrisLaplaceFeatureDetector.getCornThresh(		) ->	retval

◆ getDefaultName()

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

virtual

Python:
	cv.xfeatures2d.HarrisLaplaceFeatureDetector.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.

◆ getDOGThresh()

virtual float cv::xfeatures2d::HarrisLaplaceFeatureDetector::getDOGThresh ( ) const

pure virtual

Python:
	cv.xfeatures2d.HarrisLaplaceFeatureDetector.getDOGThresh(		) ->	retval

◆ getMaxCorners()

virtual int cv::xfeatures2d::HarrisLaplaceFeatureDetector::getMaxCorners ( ) const

pure virtual

Python:
	cv.xfeatures2d.HarrisLaplaceFeatureDetector.getMaxCorners(		) ->	retval

◆ getNumLayers()

virtual int cv::xfeatures2d::HarrisLaplaceFeatureDetector::getNumLayers ( ) const

pure virtual

Python:
	cv.xfeatures2d.HarrisLaplaceFeatureDetector.getNumLayers(		) ->	retval

◆ getNumOctaves()

virtual int cv::xfeatures2d::HarrisLaplaceFeatureDetector::getNumOctaves ( ) const

pure virtual

Python:
	cv.xfeatures2d.HarrisLaplaceFeatureDetector.getNumOctaves(		) ->	retval

◆ setCornThresh()

virtual void cv::xfeatures2d::HarrisLaplaceFeatureDetector::setCornThresh ( float corn_thresh_ )

pure virtual

Python:
	cv.xfeatures2d.HarrisLaplaceFeatureDetector.setCornThresh(	corn_thresh_	) ->	None

◆ setDOGThresh()

virtual void cv::xfeatures2d::HarrisLaplaceFeatureDetector::setDOGThresh ( float DOG_thresh_ )

pure virtual

Python:
	cv.xfeatures2d.HarrisLaplaceFeatureDetector.setDOGThresh(	DOG_thresh_	) ->	None

◆ setMaxCorners()

virtual void cv::xfeatures2d::HarrisLaplaceFeatureDetector::setMaxCorners ( int maxCorners_ )

pure virtual

Python:
	cv.xfeatures2d.HarrisLaplaceFeatureDetector.setMaxCorners(	maxCorners_	) ->	None

◆ setNumLayers()

virtual void cv::xfeatures2d::HarrisLaplaceFeatureDetector::setNumLayers ( int num_layers_ )

pure virtual

Python:
	cv.xfeatures2d.HarrisLaplaceFeatureDetector.setNumLayers(	num_layers_	) ->	None

◆ setNumOctaves()

virtual void cv::xfeatures2d::HarrisLaplaceFeatureDetector::setNumOctaves ( int numOctaves_ )

pure virtual

Python:
	cv.xfeatures2d.HarrisLaplaceFeatureDetector.setNumOctaves(	numOctaves_	) ->	None

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

opencv2/xfeatures2d.hpp

Public Member Functions

Static Public Member Functions

Additional Inherited Members

Detailed Description

Member Function Documentation

◆ create()

◆ getCornThresh()

◆ getDefaultName()

◆ getDOGThresh()

◆ getMaxCorners()

◆ getNumLayers()

◆ getNumOctaves()

◆ setCornThresh()

◆ setDOGThresh()

◆ setMaxCorners()

◆ setNumLayers()

◆ setNumOctaves()