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 Ptr< FileStorage > &fs, const String &name) const

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

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

opencv2/cudafeatures2d.hpp

Public Member Functions

Static Public Member Functions

Static Public Attributes

Additional Inherited Members

Detailed Description

Member Function Documentation

◆ create()

◆ getBlurForDescriptor()

◆ getEdgeThreshold()

◆ getFastThreshold()

◆ getFirstLevel()

◆ getMaxFeatures()

◆ getNLevels()

◆ getPatchSize()

◆ getScaleFactor()

◆ getScoreType()

◆ getWTA_K()

◆ setBlurForDescriptor()

◆ setEdgeThreshold()

◆ setFastThreshold()

◆ setFirstLevel()

◆ setMaxFeatures()

◆ setNLevels()

◆ setPatchSize()

◆ setScaleFactor()

◆ setScoreType()

◆ setWTA_K()

Member Data Documentation

◆ ANGLE_ROW

◆ OCTAVE_ROW

◆ RESPONSE_ROW

◆ ROWS_COUNT

◆ SIZE_ROW

◆ X_ROW

◆ Y_ROW