OpenCV  4.0.0
Open Source Computer Vision
Public Member Functions | Static Public Member Functions | List of all members

Class implementing the BRISK keypoint detector and descriptor extractor, described in [114] . More...

#include "features2d.hpp"

Inheritance diagram for cv::BRISK:
cv::Feature2D cv::Algorithm

Public Member Functions

virtual String getDefaultName () const CV_OVERRIDE
 
- 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< BRISKcreate (int thresh=30, int octaves=3, float patternScale=1.0f)
 The BRISK constructor. More...
 
static Ptr< BRISKcreate (const std::vector< float > &radiusList, const std::vector< int > &numberList, float dMax=5.85f, float dMin=8.2f, const std::vector< int > &indexChange=std::vector< int >())
 The BRISK constructor for a custom pattern. More...
 
static Ptr< BRISKcreate (int thresh, int octaves, const std::vector< float > &radiusList, const std::vector< int > &numberList, float dMax=5.85f, float dMin=8.2f, const std::vector< int > &indexChange=std::vector< int >())
 The BRISK constructor for a custom pattern, detection threshold and octaves. 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 BRISK keypoint detector and descriptor extractor, described in [114] .

Member Function Documentation

§ create() [1/3]

static Ptr<BRISK> cv::BRISK::create ( int  thresh = 30,
int  octaves = 3,
float  patternScale = 1.0f 
)
static
Python:
retval=cv.BRISK_create([, thresh[, octaves[, patternScale]]])
retval=cv.BRISK_create(radiusList, numberList[, dMax[, dMin[, indexChange]]])
retval=cv.BRISK_create(thresh, octaves, radiusList, numberList[, dMax[, dMin[, indexChange]]])

The BRISK constructor.

Parameters
threshAGAST detection threshold score.
octavesdetection octaves. Use 0 to do single scale.
patternScaleapply this scale to the pattern used for sampling the neighbourhood of a keypoint.

§ create() [2/3]

static Ptr<BRISK> cv::BRISK::create ( const std::vector< float > &  radiusList,
const std::vector< int > &  numberList,
float  dMax = 5.85f,
float  dMin = 8.2f,
const std::vector< int > &  indexChange = std::vector< int >() 
)
static
Python:
retval=cv.BRISK_create([, thresh[, octaves[, patternScale]]])
retval=cv.BRISK_create(radiusList, numberList[, dMax[, dMin[, indexChange]]])
retval=cv.BRISK_create(thresh, octaves, radiusList, numberList[, dMax[, dMin[, indexChange]]])

The BRISK constructor for a custom pattern.

Parameters
radiusListdefines the radii (in pixels) where the samples around a keypoint are taken (for keypoint scale 1).
numberListdefines the number of sampling points on the sampling circle. Must be the same size as radiusList..
dMaxthreshold for the short pairings used for descriptor formation (in pixels for keypoint scale 1).
dMinthreshold for the long pairings used for orientation determination (in pixels for keypoint scale 1).
indexChangeindex remapping of the bits.

§ create() [3/3]

static Ptr<BRISK> cv::BRISK::create ( int  thresh,
int  octaves,
const std::vector< float > &  radiusList,
const std::vector< int > &  numberList,
float  dMax = 5.85f,
float  dMin = 8.2f,
const std::vector< int > &  indexChange = std::vector< int >() 
)
static
Python:
retval=cv.BRISK_create([, thresh[, octaves[, patternScale]]])
retval=cv.BRISK_create(radiusList, numberList[, dMax[, dMin[, indexChange]]])
retval=cv.BRISK_create(thresh, octaves, radiusList, numberList[, dMax[, dMin[, indexChange]]])

The BRISK constructor for a custom pattern, detection threshold and octaves.

Parameters
threshAGAST detection threshold score.
octavesdetection octaves. Use 0 to do single scale.
radiusListdefines the radii (in pixels) where the samples around a keypoint are taken (for keypoint scale 1).
numberListdefines the number of sampling points on the sampling circle. Must be the same size as radiusList..
dMaxthreshold for the short pairings used for descriptor formation (in pixels for keypoint scale 1).
dMinthreshold for the long pairings used for orientation determination (in pixels for keypoint scale 1).
indexChangeindex remapping of the bits.

§ getDefaultName()

virtual String cv::BRISK::getDefaultName ( ) const
virtual
Python:
retval=cv.BRISK.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.


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