cv::xfeatures2d::HarrisLaplaceFeatureDetector Class Reference

Class implementing the Harris-Laplace feature detector as described in [195]. 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 (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 [195].

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