cv::xfeatures2d::LUCID Class Reference

Class implementing the locally uniform comparison image descriptor, described in [321]. More...

#include <opencv2/xfeatures2d.hpp>

Collaboration diagram for cv::xfeatures2d::LUCID:

Public Member Functions
virtual int	getBlurKernel () const =0
String	getDefaultName () const CV_OVERRIDE
virtual int	getLucidKernel () const =0
virtual void	setBlurKernel (int blur_kernel)=0
virtual void	setLucidKernel (int lucid_kernel)=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 Ptr< FileStorage > &fs, const String &name) const
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< LUCID >	create (const int lucid_kernel=1, const int blur_kernel=2)
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 locally uniform comparison image descriptor, described in [321].

An image descriptor that can be computed very fast, while being about as robust as, for example, SURF or BRIEF.

Note

It requires a color image as input.

Member Function Documentation

create()

static Ptr< LUCID > cv::xfeatures2d::LUCID::create ( const int lucid_kernel = 1, const int blur_kernel = 2 )

static

Python:
	cv.xfeatures2d.LUCID.create(	[, lucid_kernel[, blur_kernel]]	) ->	retval
	cv.xfeatures2d.LUCID_create(	[, lucid_kernel[, blur_kernel]]	) ->	retval

Parameters

lucid_kernel	kernel for descriptor construction, where 1=3x3, 2=5x5, 3=7x7 and so forth
blur_kernel	kernel for blurring image prior to descriptor construction, where 1=3x3, 2=5x5, 3=7x7 and so forth

getBlurKernel()

virtual int cv::xfeatures2d::LUCID::getBlurKernel ( ) const

pure virtual

Python:
	cv.xfeatures2d.LUCID.getBlurKernel(		) ->	retval

getDefaultName()

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

virtual

Python:
	cv.xfeatures2d.LUCID.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.

getLucidKernel()

virtual int cv::xfeatures2d::LUCID::getLucidKernel ( ) const

pure virtual

Python:
	cv.xfeatures2d.LUCID.getLucidKernel(		) ->	retval

setBlurKernel()

virtual void cv::xfeatures2d::LUCID::setBlurKernel ( int blur_kernel )

pure virtual

Python:
	cv.xfeatures2d.LUCID.setBlurKernel(	blur_kernel	) ->	None

setLucidKernel()

virtual void cv::xfeatures2d::LUCID::setLucidKernel ( int lucid_kernel )

pure virtual

Python:
	cv.xfeatures2d.LUCID.setLucidKernel(	lucid_kernel	) ->	None

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

• opencv2/xfeatures2d.hpp