cv::KAZE Class Reference

Class implementing the KAZE keypoint detector and descriptor extractor, described in [9] . More...

#include <opencv2/features2d.hpp>

Collaboration diagram for cv::KAZE:

Public Types
enum	DiffusivityType {   DIFF_PM_G1 = 0 ,   DIFF_PM_G2 = 1 ,   DIFF_WEICKERT = 2 ,   DIFF_CHARBONNIER = 3 }

Public Member Functions
virtual String	getDefaultName () const CV_OVERRIDE
virtual KAZE::DiffusivityType	getDiffusivity () const =0
virtual bool	getExtended () const =0
virtual int	getNOctaveLayers () const =0
virtual int	getNOctaves () const =0
virtual double	getThreshold () const =0
virtual bool	getUpright () const =0
virtual void	setDiffusivity (KAZE::DiffusivityType diff)=0
virtual void	setExtended (bool extended)=0
virtual void	setNOctaveLayers (int octaveLayers)=0
virtual void	setNOctaves (int octaves)=0
virtual void	setThreshold (double threshold)=0
virtual void	setUpright (bool upright)=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< KAZE >	create (bool extended=false, bool upright=false, float threshold=0.001f, int nOctaves=4, int nOctaveLayers=4, KAZE::DiffusivityType diffusivity=KAZE::DIFF_PM_G2)
	The KAZE constructor.
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 KAZE keypoint detector and descriptor extractor, described in [9] .

Note

AKAZE descriptor can only be used with KAZE or AKAZE keypoints .. [ABD12] KAZE Features. Pablo F. Alcantarilla, Adrien Bartoli and Andrew J. Davison. In European Conference on Computer Vision (ECCV), Fiorenze, Italy, October 2012.

Member Enumeration Documentation

DiffusivityType

enum cv::KAZE::DiffusivityType

Enumerator
DIFF_PM_G1
DIFF_PM_G2
DIFF_WEICKERT
DIFF_CHARBONNIER

Member Function Documentation

create()

static Ptr< KAZE > cv::KAZE::create ( bool  extended = false, bool  upright = false, float  threshold = 0.001f, int  nOctaves = 4, int  nOctaveLayers = 4, KAZE::DiffusivityType  diffusivity = KAZE::DIFF_PM_G2  )

static

Python:
	cv.KAZE.create(	[, extended[, upright[, threshold[, nOctaves[, nOctaveLayers[, diffusivity]]]]]]	) ->	retval
	cv.KAZE_create(	[, extended[, upright[, threshold[, nOctaves[, nOctaveLayers[, diffusivity]]]]]]	) ->	retval

The KAZE constructor.

Parameters

extended	Set to enable extraction of extended (128-byte) descriptor.
upright	Set to enable use of upright descriptors (non rotation-invariant).
threshold	Detector response threshold to accept point
nOctaves	Maximum octave evolution of the image
nOctaveLayers	Default number of sublevels per scale level
diffusivity	Diffusivity type. DIFF_PM_G1, DIFF_PM_G2, DIFF_WEICKERT or DIFF_CHARBONNIER

getDefaultName()

virtual String cv::KAZE::getDefaultName ( ) const

virtual

Python:
	cv.KAZE.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.

getDiffusivity()

virtual KAZE::DiffusivityType cv::KAZE::getDiffusivity ( ) const

pure virtual

Python:
	cv.KAZE.getDiffusivity(		) ->	retval

getExtended()

virtual bool cv::KAZE::getExtended ( ) const

pure virtual

Python:
	cv.KAZE.getExtended(		) ->	retval

getNOctaveLayers()

virtual int cv::KAZE::getNOctaveLayers ( ) const

pure virtual

Python:
	cv.KAZE.getNOctaveLayers(		) ->	retval

getNOctaves()

virtual int cv::KAZE::getNOctaves ( ) const

pure virtual

Python:
	cv.KAZE.getNOctaves(		) ->	retval

getThreshold()

virtual double cv::KAZE::getThreshold ( ) const

pure virtual

Python:
	cv.KAZE.getThreshold(		) ->	retval

getUpright()

virtual bool cv::KAZE::getUpright ( ) const

pure virtual

Python:
	cv.KAZE.getUpright(		) ->	retval

setDiffusivity()

virtual void cv::KAZE::setDiffusivity ( KAZE::DiffusivityType  diff )

pure virtual

Python:
	cv.KAZE.setDiffusivity(	diff	) ->	None

setExtended()

virtual void cv::KAZE::setExtended ( bool  extended )

pure virtual

Python:
	cv.KAZE.setExtended(	extended	) ->	None

setNOctaveLayers()

virtual void cv::KAZE::setNOctaveLayers ( int  octaveLayers )

pure virtual

Python:
	cv.KAZE.setNOctaveLayers(	octaveLayers	) ->	None

setNOctaves()

virtual void cv::KAZE::setNOctaves ( int  octaves )

pure virtual

Python:
	cv.KAZE.setNOctaves(	octaves	) ->	None

setThreshold()

virtual void cv::KAZE::setThreshold ( double  threshold )

pure virtual

Python:
	cv.KAZE.setThreshold(	threshold	) ->	None

setUpright()

virtual void cv::KAZE::setUpright ( bool  upright )

pure virtual

Python:
	cv.KAZE.setUpright(	upright	) ->	None

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

• opencv2/features2d.hpp