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

#include <opencv2/xfeatures2d.hpp>

Collaboration diagram for cv::xfeatures2d::KAZE:

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

typedef int	DiffusivityType

Public Member Functions
virtual String	getDefaultName () const CV_OVERRIDE

virtual int	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 (int 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 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, int 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 Typedef Documentation

◆ DiffusivityType

typedef int cv::xfeatures2d::KAZE::DiffusivityType

Member Enumeration Documentation

◆ anonymous enum

anonymous enum

Enumerator
DIFF_PM_G1
DIFF_PM_G2
DIFF_WEICKERT
DIFF_CHARBONNIER

Member Function Documentation

◆ create()

static Ptr< KAZE > cv::xfeatures2d::KAZE::create	(	bool	extended = `false`,
		bool	upright = `false`,
		float	threshold = `0.001f`,
		int	nOctaves = `4`,
		int	nOctaveLayers = `4`,
		int	diffusivity = `KAZE::DIFF_PM_G2`
	)

static

Python:
	cv.xfeatures2d.KAZE.create(	[, extended[, upright[, threshold[, nOctaves[, nOctaveLayers[, diffusivity]]]]]]	) ->	retval
	cv.xfeatures2d.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::xfeatures2d::KAZE::getDefaultName ( ) const

virtual

Python:
	cv.xfeatures2d.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 int cv::xfeatures2d::KAZE::getDiffusivity ( ) const

pure virtual

Python:
	cv.xfeatures2d.KAZE.getDiffusivity(		) ->	retval

◆ getExtended()

virtual bool cv::xfeatures2d::KAZE::getExtended ( ) const

pure virtual

Python:
	cv.xfeatures2d.KAZE.getExtended(		) ->	retval

◆ getNOctaveLayers()

virtual int cv::xfeatures2d::KAZE::getNOctaveLayers ( ) const

pure virtual

Python:
	cv.xfeatures2d.KAZE.getNOctaveLayers(		) ->	retval

◆ getNOctaves()

virtual int cv::xfeatures2d::KAZE::getNOctaves ( ) const

pure virtual

Python:
	cv.xfeatures2d.KAZE.getNOctaves(		) ->	retval

◆ getThreshold()

virtual double cv::xfeatures2d::KAZE::getThreshold ( ) const

pure virtual

Python:
	cv.xfeatures2d.KAZE.getThreshold(		) ->	retval

◆ getUpright()

virtual bool cv::xfeatures2d::KAZE::getUpright ( ) const

pure virtual

Python:
	cv.xfeatures2d.KAZE.getUpright(		) ->	retval

◆ setDiffusivity()

virtual void cv::xfeatures2d::KAZE::setDiffusivity ( int diff )

pure virtual

Python:
	cv.xfeatures2d.KAZE.setDiffusivity(	diff	) ->	None

◆ setExtended()

virtual void cv::xfeatures2d::KAZE::setExtended ( bool extended )

pure virtual

Python:
	cv.xfeatures2d.KAZE.setExtended(	extended	) ->	None

◆ setNOctaveLayers()

virtual void cv::xfeatures2d::KAZE::setNOctaveLayers ( int octaveLayers )

pure virtual

Python:
	cv.xfeatures2d.KAZE.setNOctaveLayers(	octaveLayers	) ->	None

◆ setNOctaves()

virtual void cv::xfeatures2d::KAZE::setNOctaves ( int octaves )

pure virtual

Python:
	cv.xfeatures2d.KAZE.setNOctaves(	octaves	) ->	None

◆ setThreshold()

virtual void cv::xfeatures2d::KAZE::setThreshold ( double threshold )

pure virtual

Python:
	cv.xfeatures2d.KAZE.setThreshold(	threshold	) ->	None

◆ setUpright()

virtual void cv::xfeatures2d::KAZE::setUpright ( bool upright )

pure virtual

Python:
	cv.xfeatures2d.KAZE.setUpright(	upright	) ->	None

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

opencv2/xfeatures2d.hpp

Public Types

Public Member Functions

Static Public Member Functions

Additional Inherited Members

Detailed Description

Member Typedef Documentation

◆ DiffusivityType

Member Enumeration Documentation

◆ anonymous enum

Member Function Documentation

◆ create()

◆ getDefaultName()

◆ getDiffusivity()

◆ getExtended()

◆ getNOctaveLayers()

◆ getNOctaves()

◆ getThreshold()

◆ getUpright()

◆ setDiffusivity()

◆ setExtended()

◆ setNOctaveLayers()

◆ setNOctaves()

◆ setThreshold()

◆ setUpright()