Class implementing the KAZE keypoint detector and descriptor extractor, described in [6] . More...

#include <opencv2/features2d.hpp>

Inheritance 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). More...

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). More...

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. More...

void	read (const String &fileName)

virtual void	read (const FileNode &) CV_OVERRIDE
	Reads algorithm parameters from a file storage. More...

void	write (const String &fileName) const

virtual void	write (FileStorage &) const CV_OVERRIDE
	Stores algorithm parameters in a file storage. More...

void	write (const Ptr< FileStorage > &fs, const String &name=String()) const

Public Member Functions inherited from cv::Algorithm
	Algorithm ()

virtual	~Algorithm ()

virtual void	clear ()
	Clears the algorithm state. More...

virtual void	save (const String &filename) const

void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
	simplified API for language bindings This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More...

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. More...

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. More...

template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String. More...

template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node. More...

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 [6] .

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:
	retval	=	cv.KAZE_create(	[, extended[, upright[, threshold[, nOctaves[, nOctaveLayers[, diffusivity]]]]]]	)

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:
	retval	=	cv.KAZE.getDefaultName(		)

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:
	retval	=	cv.KAZE.getDiffusivity(		)

◆ getExtended()

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

pure virtual

Python:
	retval	=	cv.KAZE.getExtended(		)

◆ getNOctaveLayers()

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

pure virtual

Python:
	retval	=	cv.KAZE.getNOctaveLayers(		)

◆ getNOctaves()

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

pure virtual

Python:
	retval	=	cv.KAZE.getNOctaves(		)

◆ getThreshold()

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

pure virtual

Python:
	retval	=	cv.KAZE.getThreshold(		)

◆ getUpright()

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

pure virtual

Python:
	retval	=	cv.KAZE.getUpright(		)

◆ setDiffusivity()

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

pure virtual

Python:
	None	=	cv.KAZE.setDiffusivity(	diff	)

◆ setExtended()

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

pure virtual

Python:
	None	=	cv.KAZE.setExtended(	extended	)

◆ setNOctaveLayers()

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

pure virtual

Python:
	None	=	cv.KAZE.setNOctaveLayers(	octaveLayers	)

◆ setNOctaves()

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

pure virtual

Python:
	None	=	cv.KAZE.setNOctaves(	octaves	)

◆ setThreshold()

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

pure virtual

Python:
	None	=	cv.KAZE.setThreshold(	threshold	)

◆ setUpright()

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

pure virtual

Python:
	None	=	cv.KAZE.setUpright(	upright	)

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

opencv2/features2d.hpp

Public Types

Public Member Functions

Static Public Member Functions

Additional Inherited Members

Detailed Description

Member Enumeration Documentation

◆ DiffusivityType

Member Function Documentation

◆ create()

◆ getDefaultName()

◆ getDiffusivity()

◆ getExtended()

◆ getNOctaveLayers()

◆ getNOctaves()

◆ getThreshold()

◆ getUpright()

◆ setDiffusivity()

◆ setExtended()

◆ setNOctaveLayers()

◆ setNOctaves()

◆ setThreshold()

◆ setUpright()