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OpenCV 4.0.1
Open Source Computer Vision
Public Member Functions | Static Public Member Functions | List of all members
cv::BRISK Class Reference
2D Features Framework » Feature Detection and Description

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

#include "features2d.hpp"

Inheritance diagram for cv::BRISK:

Public Member Functions

virtual String getDefaultName () const CV_OVERRIDE
virtual int getOctaves () const
virtual int getThreshold () const
virtual void setOctaves (int octaves)
Set detection octaves. More...
virtual void setThreshold (int threshold)
Set detection threshold. More...
- 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
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< BRISK > create (int thresh=30, int octaves=3, float patternScale=1.0f)
The BRISK constructor. More...
static Ptr< 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 >())
The BRISK constructor for a custom pattern. More...
static Ptr< 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 >())
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
thresh AGAST detection threshold score.
octaves detection octaves. Use 0 to do single scale.
patternScale apply 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
radiusList defines the radii (in pixels) where the samples around a keypoint are taken (for keypoint scale 1).
numberList defines the number of sampling points on the sampling circle. Must be the same size as radiusList..
dMax threshold for the short pairings used for descriptor formation (in pixels for keypoint scale 1).
dMin threshold for the long pairings used for orientation determination (in pixels for keypoint scale 1).
indexChange index 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
thresh AGAST detection threshold score.
octaves detection octaves. Use 0 to do single scale.
radiusList defines the radii (in pixels) where the samples around a keypoint are taken (for keypoint scale 1).
numberList defines the number of sampling points on the sampling circle. Must be the same size as radiusList..
dMax threshold for the short pairings used for descriptor formation (in pixels for keypoint scale 1).
dMin threshold for the long pairings used for orientation determination (in pixels for keypoint scale 1).
indexChange index 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.

§ getOctaves()

virtual int cv::BRISK::getOctaves ( ) const
inlinevirtual
Python:
retval=cv.BRISK.getOctaves()

§ getThreshold()

virtual int cv::BRISK::getThreshold ( ) const
inlinevirtual
Python:
retval=cv.BRISK.getThreshold()

§ setOctaves()

virtual void cv::BRISK::setOctaves ( int octaves )
inlinevirtual
Python:
None=cv.BRISK.setOctaves(octaves)

Set detection octaves.

Parameters
octaves detection octaves. Use 0 to do single scale.

§ setThreshold()

virtual void cv::BRISK::setThreshold ( int threshold )
inlinevirtual
Python:
None=cv.BRISK.setThreshold(threshold)

Set detection threshold.

Parameters
threshold AGAST detection threshold score.

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

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