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

#include "cudafeatures2d.hpp"

Inheritance diagram for cv::cuda::ORB:

Public Types
enum	{ X_ROW = 0, Y_ROW, RESPONSE_ROW, ANGLE_ROW, OCTAVE_ROW, SIZE_ROW, ROWS_COUNT }

Public Types inherited from cv::ORB
enum	{ kBytes = 32, HARRIS_SCORE =0, FAST_SCORE =1 }

Public Member Functions
virtual bool	getBlurForDescriptor () const =0

virtual void	setBlurForDescriptor (bool blurForDescriptor)=0
	if true, image will be blurred before descriptors calculation More...

Public Member Functions inherited from cv::ORB
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	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::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...

void	read (const String &fileName)

virtual void	read (const FileNode &)
	Reads algorithm parameters from a file storage. More...

void	write (const String &fileName) const

virtual void	write (FileStorage &) const
	Stores algorithm parameters in a file storage. 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	save (const String &filename) const

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. More...

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. More...

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

Static Public Member Functions inherited from cv::ORB
static Ptr< ORB >	create (int nfeatures=500, float scaleFactor=1.2f, int nlevels=8, int edgeThreshold=31, int firstLevel=0, int WTA_K=2, int scoreType=ORB::HARRIS_SCORE, int patchSize=31, int fastThreshold=20)
	The ORB 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...

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 Enumeration Documentation

§ anonymous enum

anonymous enum

Enumerator
X_ROW
Y_ROW
RESPONSE_ROW
ANGLE_ROW
OCTAVE_ROW
SIZE_ROW
ROWS_COUNT

Member Function Documentation

§ create()

static Ptr<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 = `ORB::HARRIS_SCORE`,
		int	patchSize = `31`,
		int	fastThreshold = `20`,
		bool	blurForDescriptor = `false`
	)

static

§ getBlurForDescriptor()

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

pure virtual

§ setBlurForDescriptor()

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

pure virtual

if true, image will be blurred before descriptors calculation

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

cudafeatures2d/include/opencv2/cudafeatures2d.hpp

Public Types

Public Member Functions

Static Public Member Functions