cv::cuda::FastFeatureDetector Class Reference

Wrapping class for feature detection using the FAST method. More...

#include <opencv2/cudafeatures2d.hpp>

Inheritance diagram for cv::cuda::FastFeatureDetector:

Public Member Functions
virtual int	getMaxNumPoints () const =0
virtual void	setMaxNumPoints (int max_npoints)=0
virtual void	setThreshold (int threshold)=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. 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...
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...
virtual String	getDefaultName () const CV_OVERRIDE
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< cuda::FastFeatureDetector >	create (int threshold=10, bool nonmaxSuppression=true, int type=cv::FastFeatureDetector::TYPE_9_16, int max_npoints=5000)
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...

Static Public Attributes
static const int	FEATURE_SIZE = 7
static const int	LOCATION_ROW = 0
static const int	RESPONSE_ROW = 1
static const int	ROWS_COUNT = 2

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

Detailed Description

Wrapping class for feature detection using the FAST method.

Member Function Documentation

create()

static Ptr<cuda::FastFeatureDetector> cv::cuda::FastFeatureDetector::create ( int  threshold = 10, bool  nonmaxSuppression = true, int  type = cv::FastFeatureDetector::TYPE_9_16, int  max_npoints = 5000  )

static

getMaxNumPoints()

virtual int cv::cuda::FastFeatureDetector::getMaxNumPoints ( ) const

pure virtual

setMaxNumPoints()

virtual void cv::cuda::FastFeatureDetector::setMaxNumPoints ( int  max_npoints )

pure virtual

setThreshold()

virtual void cv::cuda::FastFeatureDetector::setThreshold ( int  threshold )

pure virtual

Member Data Documentation

FEATURE_SIZE

const int cv::cuda::FastFeatureDetector::FEATURE_SIZE = 7

static

LOCATION_ROW

const int cv::cuda::FastFeatureDetector::LOCATION_ROW = 0

static

RESPONSE_ROW

const int cv::cuda::FastFeatureDetector::RESPONSE_ROW = 1

static

ROWS_COUNT

const int cv::cuda::FastFeatureDetector::ROWS_COUNT = 2

static

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

• opencv2/cudafeatures2d.hpp