OpenCV  3.0.0-dev
Open Source Computer Vision
Public Types | Public Member Functions | Static Public Member Functions | List of all members
cv::AKAZE Class Referenceabstract

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

#include "features2d.hpp"

Inheritance diagram for cv::AKAZE:
cv::Feature2D cv::Algorithm

Public Types

enum  {

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< AKAZEcreate (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] . :

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 

The AKAZE constructor.

descriptor_sizeSize of the descriptor in bits. 0 -> Full size
descriptor_channelsNumber of channels in the descriptor (1, 2, 3)
thresholdDetector response threshold to accept point
nOctavesMaximum octave evolution of the image
nOctaveLayersDefault number of sublevels per scale level
diffusivityDiffusivity 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: