cv::xfeatures2d::LATCH Class Reference

#include <opencv2/xfeatures2d.hpp>

Collaboration diagram for cv::xfeatures2d::LATCH:

Public Member Functions
virtual int	getBytes () const =0
String	getDefaultName () const CV_OVERRIDE
virtual int	getHalfSSDsize () const =0
virtual bool	getRotationInvariance () const =0
virtual double	getSigma () const =0
virtual void	setBytes (int bytes)=0
virtual void	setHalfSSDsize (int half_ssd_size)=0
virtual void	setRotationInvariance (bool rotationInvariance)=0
virtual void	setSigma (double sigma)=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< LATCH >	create (int bytes=32, bool rotationInvariance=true, int half_ssd_size=3, double sigma=2.0)
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

latch Class for computing the LATCH descriptor. If you find this code useful, please add a reference to the following paper in your work: Gil Levi and Tal Hassner, "LATCH: Learned Arrangements of Three Patch Codes", arXiv preprint arXiv:1501.03719, 15 Jan. 2015

LATCH is a binary descriptor based on learned comparisons of triplets of image patches.

bytes is the size of the descriptor - can be 64, 32, 16, 8, 4, 2 or 1 rotationInvariance - whether or not the descriptor should compansate for orientation changes. half_ssd_size - the size of half of the mini-patches size. For example, if we would like to compare triplets of patches of size 7x7x then the half_ssd_size should be (7-1)/2 = 3. sigma - sigma value for GaussianBlur smoothing of the source image. Source image will be used without smoothing in case sigma value is 0.

Note: the descriptor can be coupled with any keypoint extractor. The only demand is that if you use set rotationInvariance = True then you will have to use an extractor which estimates the patch orientation (in degrees). Examples for such extractors are ORB and SIFT.

Note: a complete example can be found under /samples/cpp/tutorial_code/xfeatures2D/latch_match.cpp

Member Function Documentation

create()

static Ptr< LATCH > cv::xfeatures2d::LATCH::create ( int  bytes = 32, bool  rotationInvariance = true, int  half_ssd_size = 3, double  sigma = 2.0  )

static

Python:
	cv.xfeatures2d.LATCH.create(	[, bytes[, rotationInvariance[, half_ssd_size[, sigma]]]]	) ->	retval
	cv.xfeatures2d.LATCH_create(	[, bytes[, rotationInvariance[, half_ssd_size[, sigma]]]]	) ->	retval

getBytes()

virtual int cv::xfeatures2d::LATCH::getBytes ( ) const

pure virtual

Python:
	cv.xfeatures2d.LATCH.getBytes(		) ->	retval

getDefaultName()

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

virtual

Python:
	cv.xfeatures2d.LATCH.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.

getHalfSSDsize()

virtual int cv::xfeatures2d::LATCH::getHalfSSDsize ( ) const

pure virtual

Python:
	cv.xfeatures2d.LATCH.getHalfSSDsize(		) ->	retval

getRotationInvariance()

virtual bool cv::xfeatures2d::LATCH::getRotationInvariance ( ) const

pure virtual

Python:
	cv.xfeatures2d.LATCH.getRotationInvariance(		) ->	retval

getSigma()

virtual double cv::xfeatures2d::LATCH::getSigma ( ) const

pure virtual

Python:
	cv.xfeatures2d.LATCH.getSigma(		) ->	retval

setBytes()

virtual void cv::xfeatures2d::LATCH::setBytes ( int  bytes )

pure virtual

Python:
	cv.xfeatures2d.LATCH.setBytes(	bytes	) ->	None

setHalfSSDsize()

virtual void cv::xfeatures2d::LATCH::setHalfSSDsize ( int  half_ssd_size )

pure virtual

Python:
	cv.xfeatures2d.LATCH.setHalfSSDsize(	half_ssd_size	) ->	None

setRotationInvariance()

virtual void cv::xfeatures2d::LATCH::setRotationInvariance ( bool  rotationInvariance )

pure virtual

Python:
	cv.xfeatures2d.LATCH.setRotationInvariance(	rotationInvariance	) ->	None

setSigma()

virtual void cv::xfeatures2d::LATCH::setSigma ( double  sigma )

pure virtual

Python:
	cv.xfeatures2d.LATCH.setSigma(	sigma	) ->	None

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

• opencv2/xfeatures2d.hpp