cv::cuda::ORB Class Reference

Class implementing the ORB (oriented BRIEF) keypoint detector and descriptor extractor. More...

#include <opencv2/cudafeatures2d.hpp>

Collaboration diagram for cv::cuda::ORB:

Public Member Functions
virtual bool	getBlurForDescriptor () const =0
virtual int	getEdgeThreshold () const =0
virtual int	getFastThreshold () const =0
virtual int	getFirstLevel () const =0
virtual int	getMaxFeatures () const =0
virtual int	getNLevels () const =0
virtual int	getPatchSize () const =0
virtual double	getScaleFactor () const =0
virtual int	getScoreType () const =0
virtual int	getWTA_K () const =0
virtual void	setBlurForDescriptor (bool blurForDescriptor)=0
	if true, image will be blurred before descriptors calculation
virtual void	setEdgeThreshold (int edgeThreshold)=0
virtual void	setFastThreshold (int fastThreshold)=0
virtual void	setFirstLevel (int firstLevel)=0
virtual void	setMaxFeatures (int maxFeatures)=0
virtual void	setNLevels (int nlevels)=0
virtual void	setPatchSize (int patchSize)=0
virtual void	setScaleFactor (double scaleFactor)=0
virtual void	setScoreType (int scoreType)=0
virtual void	setWTA_K (int wta_k)=0
Public Member Functions inherited from cv::cuda::Feature2DAsync
virtual	~Feature2DAsync ()
virtual void	computeAsync (InputArray image, OutputArray keypoints, OutputArray descriptors, Stream &stream=Stream::Null())
	Computes the descriptors for a set of keypoints detected in an image.
virtual void	convert (InputArray gpu_keypoints, std::vector< KeyPoint > &keypoints)=0
virtual void	detectAndComputeAsync (InputArray image, InputArray mask, OutputArray keypoints, OutputArray descriptors, bool useProvidedKeypoints=false, Stream &stream=Stream::Null())
virtual void	detectAsync (InputArray image, OutputArray keypoints, InputArray mask=noArray(), Stream &stream=Stream::Null())
	Detects keypoints in an image.
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).
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).
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.
virtual String	getDefaultName () const CV_OVERRIDE
virtual void	read (const FileNode &) CV_OVERRIDE
	Reads algorithm parameters from a file storage.
void	read (const String &fileName)
void	write (const String &fileName) const
virtual void	write (FileStorage &) const CV_OVERRIDE
	Stores algorithm parameters in a file storage.
void	write (FileStorage &fs, const String &name) const
Public Member Functions inherited from cv::Algorithm
	Algorithm ()
virtual	~Algorithm ()
virtual void	clear ()
	Clears the algorithm state.
virtual void	save (const String &filename) const
void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
void	write (FileStorage &fs, const String &name) const

Static Public Member Functions
static Ptr< cuda::ORB >	create (int nfeatures=500, float scaleFactor=1.2f, int nlevels=8, int edgeThreshold=31, int firstLevel=0, int WTA_K=2, int scoreType=cv::ORB::HARRIS_SCORE, int patchSize=31, int fastThreshold=20, bool blurForDescriptor=false)
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.
template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String.
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node.

Static Public Attributes
static const int	ANGLE_ROW = 3
static const int	OCTAVE_ROW = 4
static const int	RESPONSE_ROW = 2
static const int	ROWS_COUNT = 6
static const int	SIZE_ROW = 5
static const int	X_ROW = 0
static const int	Y_ROW = 1

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

Detailed Description

Class implementing the ORB (oriented BRIEF) keypoint detector and descriptor extractor.

See also

cv::ORB

Member Function Documentation

create()

static Ptr< cuda::ORB > cv::cuda::ORB::create ( int  nfeatures = 500, float  scaleFactor = 1.2f, int  nlevels = 8, int  edgeThreshold = 31, int  firstLevel = 0, int  WTA_K = 2, int  scoreType = cv::ORB::HARRIS_SCORE, int  patchSize = 31, int  fastThreshold = 20, bool  blurForDescriptor = false  )

static

getBlurForDescriptor()

virtual bool cv::cuda::ORB::getBlurForDescriptor ( ) const

pure virtual

getEdgeThreshold()

virtual int cv::cuda::ORB::getEdgeThreshold ( ) const

pure virtual

getFastThreshold()

virtual int cv::cuda::ORB::getFastThreshold ( ) const

pure virtual

getFirstLevel()

virtual int cv::cuda::ORB::getFirstLevel ( ) const

pure virtual

getMaxFeatures()

virtual int cv::cuda::ORB::getMaxFeatures ( ) const

pure virtual

getNLevels()

virtual int cv::cuda::ORB::getNLevels ( ) const

pure virtual

getPatchSize()

virtual int cv::cuda::ORB::getPatchSize ( ) const

pure virtual

getScaleFactor()

virtual double cv::cuda::ORB::getScaleFactor ( ) const

pure virtual

getScoreType()

virtual int cv::cuda::ORB::getScoreType ( ) const

pure virtual

getWTA_K()

virtual int cv::cuda::ORB::getWTA_K ( ) const

pure virtual

setBlurForDescriptor()

virtual void cv::cuda::ORB::setBlurForDescriptor ( bool  blurForDescriptor )

pure virtual

if true, image will be blurred before descriptors calculation

setEdgeThreshold()

virtual void cv::cuda::ORB::setEdgeThreshold ( int  edgeThreshold )

pure virtual

setFastThreshold()

virtual void cv::cuda::ORB::setFastThreshold ( int  fastThreshold )

pure virtual

setFirstLevel()

virtual void cv::cuda::ORB::setFirstLevel ( int  firstLevel )

pure virtual

setMaxFeatures()

virtual void cv::cuda::ORB::setMaxFeatures ( int  maxFeatures )

pure virtual

setNLevels()

virtual void cv::cuda::ORB::setNLevels ( int  nlevels )

pure virtual

setPatchSize()

virtual void cv::cuda::ORB::setPatchSize ( int  patchSize )

pure virtual

setScaleFactor()

virtual void cv::cuda::ORB::setScaleFactor ( double  scaleFactor )

pure virtual

setScoreType()

virtual void cv::cuda::ORB::setScoreType ( int  scoreType )

pure virtual

setWTA_K()

virtual void cv::cuda::ORB::setWTA_K ( int  wta_k )

pure virtual

Member Data Documentation

ANGLE_ROW

const int cv::cuda::ORB::ANGLE_ROW = 3

static

OCTAVE_ROW

const int cv::cuda::ORB::OCTAVE_ROW = 4

static

RESPONSE_ROW

const int cv::cuda::ORB::RESPONSE_ROW = 2

static

ROWS_COUNT

const int cv::cuda::ORB::ROWS_COUNT = 6

static

SIZE_ROW

const int cv::cuda::ORB::SIZE_ROW = 5

static

X_ROW

const int cv::cuda::ORB::X_ROW = 0

static

Y_ROW

const int cv::cuda::ORB::Y_ROW = 1

static

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

• opencv2/cudafeatures2d.hpp