cv::AKAZE Class Reference

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...
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 String	getDefaultName () const
virtual void	save (const String &filename) const

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...

Additional Inherited Members
Protected Member Functions inherited from cv::Algorithm
void	writeFormat (FileStorage &fs) const

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 Enumeration Documentation

anonymous enum

anonymous enum

Enumerator
DESCRIPTOR_KAZE_UPRIGHT	Upright descriptors, not invariant to rotation.
DESCRIPTOR_KAZE
DESCRIPTOR_MLDB_UPRIGHT	Upright descriptors, not invariant to rotation.
DESCRIPTOR_MLDB

Member Function Documentation

create()

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

getDescriptorChannels()

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

pure virtual

getDescriptorSize()

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

pure virtual

getDescriptorType()

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

pure virtual

getDiffusivity()

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

pure virtual

getNOctaveLayers()

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

pure virtual

getNOctaves()

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

pure virtual

getThreshold()

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

pure virtual

setDescriptorChannels()

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

pure virtual

setDescriptorSize()

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

pure virtual

setDescriptorType()

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

pure virtual

setDiffusivity()

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

pure virtual

setNOctaveLayers()

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

pure virtual

setNOctaves()

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

pure virtual

setThreshold()

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

pure virtual

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

• features2d/include/opencv2/features2d.hpp