Class implementing the AKAZE keypoint detector and descriptor extractor, described in [5] . : More...

#include "features2d.hpp"

Inheritance diagram for cv::AKAZE:

Public Types
enum	{ DESCRIPTOR_KAZE_UPRIGHT = 2, DESCRIPTOR_KAZE = 3, DESCRIPTOR_MLDB_UPRIGHT = 4, DESCRIPTOR_MLDB = 5 }

Public Member Functions
virtual int	getDescriptorChannels () const =0

virtual int	getDescriptorSize () const =0

virtual int	getDescriptorType () const =0

virtual int	getDiffusivity () const =0

virtual int	getNOctaveLayers () const =0

virtual int	getNOctaves () const =0

virtual double	getThreshold () const =0

virtual void	setDescriptorChannels (int dch)=0

virtual void	setDescriptorSize (int dsize)=0

virtual void	setDescriptorType (int dtype)=0

virtual void	setDiffusivity (int diff)=0

virtual void	setNOctaveLayers (int octaveLayers)=0

virtual void	setNOctaves (int octaves)=0

virtual void	setThreshold (double threshold)=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...

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

virtual	~Algorithm ()

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

virtual String	getDefaultName () const

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

virtual void	save (const String &filename) const

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

Static Public Member Functions
static Ptr< AKAZE >	create (int descriptor_type=AKAZE::DESCRIPTOR_MLDB, int descriptor_size=0, int descriptor_channels=3, float threshold=0.001f, int nOctaves=4, int nOctaveLayers=4, int diffusivity=KAZE::DIFF_PM_G2)
	The AKAZE 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...

Detailed Description

Class implementing the AKAZE keypoint detector and descriptor extractor, described in [5] . :

Note: AKAZE descriptors can only be used with KAZE or AKAZE keypoints. Try to avoid using extract and detect instead of operator() due to performance reasons. .. [ANB13] Fast Explicit Diffusion for Accelerated Features in Nonlinear Scale Spaces. Pablo F. Alcantarilla, Jesús Nuevo and Adrien Bartoli. In British Machine Vision Conference (BMVC), Bristol, UK, September 2013.

Member Function Documentation

static Ptr<AKAZE> cv::AKAZE::create	(	int	descriptor_type = `AKAZE::DESCRIPTOR_MLDB`,
		int	descriptor_size = `0`,
		int	descriptor_channels = `3`,
		float	threshold = `0.001f`,
		int	nOctaves = `4`,
		int	nOctaveLayers = `4`,
		int	diffusivity = `KAZE::DIFF_PM_G2`
	)

static

The AKAZE constructor.

Parameters

descriptor_type	Type of the extracted descriptor: DESCRIPTOR_KAZE, DESCRIPTOR_KAZE_UPRIGHT, DESCRIPTOR_MLDB or DESCRIPTOR_MLDB_UPRIGHT.
descriptor_size	Size of the descriptor in bits. 0 -> Full size
descriptor_channels	Number of channels in the descriptor (1, 2, 3)
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

virtual int cv::AKAZE::getDescriptorChannels ( ) const

pure virtual

virtual int cv::AKAZE::getDescriptorSize ( ) const

pure virtual

virtual int cv::AKAZE::getDescriptorType ( ) const

pure virtual

virtual int cv::AKAZE::getDiffusivity ( ) const

pure virtual

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

pure virtual

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

pure virtual

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

pure virtual

virtual void cv::AKAZE::setDescriptorChannels ( int dch )

pure virtual

virtual void cv::AKAZE::setDescriptorSize ( int dsize )

pure virtual

virtual void cv::AKAZE::setDescriptorType ( int dtype )

pure virtual

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

pure virtual

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

pure virtual

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

pure virtual

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

pure virtual

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

features2d/include/opencv2/features2d.hpp

Public Types

Public Member Functions

Static Public Member Functions

Detailed Description

Member Function Documentation