cv::KAZE Class Reference

Class implementing the KAZE keypoint detector and descriptor extractor, described in [ABD12] . More...

#include "features2d.hpp"

Inheritance diagram for cv::KAZE:

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

Public Member Functions
virtual String	getDefaultName () const
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). 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
	Return true if detector object is empty. More...
void	read (const String &fileName)
virtual void	read (const FileNode &)
	Reads algorithm parameters from a file storage. More...
void	write (const String &fileName) const
virtual void	write (FileStorage &) const
	Stores algorithm parameters in a file storage. More...
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

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. 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 [ABD12] .

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

anonymous enum

anonymous enum

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, int  diffusivity = KAZE::DIFF_PM_G2  )

static

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

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::KAZE::getDiffusivity ( ) const

pure virtual

getExtended()

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

pure virtual

getNOctaveLayers()

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

pure virtual

getNOctaves()

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

pure virtual

getThreshold()

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

pure virtual

getUpright()

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

pure virtual

setDiffusivity()

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

pure virtual

setExtended()

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

pure virtual

setNOctaveLayers()

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

pure virtual

setNOctaves()

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

pure virtual

setThreshold()

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

pure virtual

setUpright()

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

pure virtual

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

• features2d/include/opencv2/features2d.hpp