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

#include "cudafeatures2d.hpp"

Inheritance diagram for cv::cuda::FastFeatureDetector:

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Collaboration diagram for cv::cuda::FastFeatureDetector:

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Public Types
enum	{ TYPE_5_8 = 0, TYPE_7_12 = 1, TYPE_9_16 = 2, THRESHOLD = 10000, NONMAX_SUPPRESSION =10001, FAST_N =10002 }

enum	{ LOCATION_ROW = 0, RESPONSE_ROW, ROWS_COUNT, FEATURE_SIZE = 7 }

Public Member Functions
virtual void	clear ()
	Clears the algorithm state. More...

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)
	This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More...

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
	Converts keypoints array from internal representation to standard vector. More...

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())
	This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More...

virtual void	detectAndCompute (InputArray image, InputArray mask, std::vector< KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false)
	Detects keypoints and computes the descriptors. More...

virtual void	detectAndComputeAsync (InputArray image, InputArray mask, OutputArray keypoints, OutputArray descriptors, bool useProvidedKeypoints=false, Stream &stream=Stream::Null())
	Detects keypoints and computes the descriptors. More...

virtual void	detectAsync (InputArray image, OutputArray keypoints, InputArray mask=noArray(), Stream &stream=Stream::Null())
	Detects keypoints in an image. More...

virtual bool	empty () const
	Return true if detector object is empty. More...

virtual String	getDefaultName () const
	Returns the algorithm string identifier. More...

virtual int	getMaxNumPoints () const =0

virtual bool	getNonmaxSuppression () const =0

virtual int	getThreshold () const =0

virtual int	getType () const =0

void	read (const String &fileName)

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

virtual void	save (const String &filename) const
	Saves the algorithm to a file. More...

virtual void	setMaxNumPoints (int max_npoints)=0

virtual void	setNonmaxSuppression (bool f)=0

virtual void	setThreshold (int threshold)=0

virtual void	setType (int type)=0

void	write (const String &fileName) const

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

Static Public Member Functions
static Ptr< FastFeatureDetector >	create (int threshold=10, bool nonmaxSuppression=true, int type=FastFeatureDetector::TYPE_9_16)

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

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...

Protected Member Functions
void	writeFormat (FileStorage &fs) const

Detailed Description

Wrapping class for feature detection using the FAST method.

Member Enumeration Documentation

anonymous enum

inherited

Enumerator
TYPE_5_8
TYPE_7_12
TYPE_9_16
THRESHOLD
NONMAX_SUPPRESSION
FAST_N

anonymous enum

Enumerator
LOCATION_ROW
RESPONSE_ROW
ROWS_COUNT
FEATURE_SIZE

Member Function Documentation

virtual void cv::Algorithm::clear ( )

inlinevirtualinherited

Clears the algorithm state.

Reimplemented in cv::FlannBasedMatcher, cv::DescriptorMatcher, and cv::cuda::DescriptorMatcher.

virtual void cv::Feature2D::compute	(	InputArray	image,
		std::vector< KeyPoint > &	keypoints,
		OutputArray	descriptors
	)

virtualinherited

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

Parameters

image	Image.
keypoints	Input collection of keypoints. Keypoints for which a descriptor cannot be computed are removed. Sometimes new keypoints can be added, for example: SIFT duplicates keypoint with several dominant orientations (for each orientation).
descriptors	Computed descriptors. In the second variant of the method descriptors[i] are descriptors computed for a keypoints[i]. Row j is the keypoints (or keypoints[i]) is the descriptor for keypoint j-th keypoint.

virtual void cv::Feature2D::compute	(	InputArrayOfArrays	images,
		std::vector< std::vector< KeyPoint > > &	keypoints,
		OutputArrayOfArrays	descriptors
	)

virtualinherited

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Parameters

images	Image set.
keypoints	Input collection of keypoints. Keypoints for which a descriptor cannot be computed are removed. Sometimes new keypoints can be added, for example: SIFT duplicates keypoint with several dominant orientations (for each orientation).
descriptors	Computed descriptors. In the second variant of the method descriptors[i] are descriptors computed for a keypoints[i]. Row j is the keypoints (or keypoints[i]) is the descriptor for keypoint j-th keypoint.

virtual void cv::cuda::Feature2DAsync::computeAsync	(	InputArray	image,
		OutputArray	keypoints,
		OutputArray	descriptors,
		Stream &	stream = `Stream::Null()`
	)

virtualinherited

Computes the descriptors for a set of keypoints detected in an image.

Parameters

image	Image.
keypoints	Input collection of keypoints.
descriptors	Computed descriptors. Row j is the descriptor for j-th keypoint.
stream	CUDA stream.

virtual void cv::cuda::Feature2DAsync::convert	(	InputArray	gpu_keypoints,
		std::vector< KeyPoint > &	keypoints
	)

pure virtualinherited

Converts keypoints array from internal representation to standard vector.

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

staticinherited

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

static

virtual int cv::Feature2D::defaultNorm ( ) const

virtualinherited

virtual int cv::Feature2D::descriptorSize ( ) const

virtualinherited

virtual int cv::Feature2D::descriptorType ( ) const

virtualinherited

virtual void cv::Feature2D::detect	(	InputArray	image,
		std::vector< KeyPoint > &	keypoints,
		InputArray	mask = `noArray()`
	)

virtualinherited

Detects keypoints in an image (first variant) or image set (second variant).

Parameters

image	Image.
keypoints	The detected keypoints. In the second variant of the method keypoints[i] is a set of keypoints detected in images[i] .
mask	Mask specifying where to look for keypoints (optional). It must be a 8-bit integer matrix with non-zero values in the region of interest.

Reimplemented in cv::AgastFeatureDetector_Impl.

virtual void cv::Feature2D::detect	(	InputArrayOfArrays	images,
		std::vector< std::vector< KeyPoint > > &	keypoints,
		InputArrayOfArrays	masks = `noArray()`
	)

virtualinherited

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Parameters

images	Image set.
keypoints	The detected keypoints. In the second variant of the method keypoints[i] is a set of keypoints detected in images[i] .
masks	Masks for each input image specifying where to look for keypoints (optional). masks[i] is a mask for images[i].

virtual void cv::Feature2D::detectAndCompute	(	InputArray	image,
		InputArray	mask,
		std::vector< KeyPoint > &	keypoints,
		OutputArray	descriptors,
		bool	useProvidedKeypoints = `false`
	)

virtualinherited

Detects keypoints and computes the descriptors.

virtual void cv::cuda::Feature2DAsync::detectAndComputeAsync	(	InputArray	image,
		InputArray	mask,
		OutputArray	keypoints,
		OutputArray	descriptors,
		bool	useProvidedKeypoints = `false`,
		Stream &	stream = `Stream::Null()`
	)

virtualinherited

Detects keypoints and computes the descriptors.

virtual void cv::cuda::Feature2DAsync::detectAsync	(	InputArray	image,
		OutputArray	keypoints,
		InputArray	mask = `noArray()`,
		Stream &	stream = `Stream::Null()`
	)

virtualinherited

Detects keypoints in an image.

Parameters

image	Image.
keypoints	The detected keypoints.
mask	Mask specifying where to look for keypoints (optional). It must be a 8-bit integer matrix with non-zero values in the region of interest.
stream	CUDA stream.

virtual bool cv::Feature2D::empty ( ) const

virtualinherited

Return true if detector object is empty.

Reimplemented from cv::Algorithm.

virtual String cv::Algorithm::getDefaultName ( ) const

virtualinherited

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.

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

pure virtual

virtual bool cv::FastFeatureDetector::getNonmaxSuppression ( ) const

pure virtualinherited

virtual int cv::FastFeatureDetector::getThreshold ( ) const

pure virtualinherited

virtual int cv::FastFeatureDetector::getType ( ) const

pure virtualinherited

template<typename _Tp >

static Ptr<_Tp> cv::Algorithm::load	(	const String &	filename,
		const String &	objname = `String()`
	)

inlinestaticinherited

Loads algorithm from the file.

Parameters

filename	Name of the file to read.
objname	The optional name of the node to read (if empty, the first top-level node will be used)

This is static template method of Algorithm. It's usage is following (in the case of SVM):

Ptr<SVM> svm = Algorithm::load<SVM>("my_svm_model.xml");

In order to make this method work, the derived class must overwrite Algorithm::read(const FileNode& fn).

References cv::Ptr< T >::empty(), cv::FileNode::empty(), cv::FileStorage::getFirstTopLevelNode(), and cv::FileStorage::READ.

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template<typename _Tp >

static Ptr<_Tp> cv::Algorithm::loadFromString	(	const String &	strModel,
		const String &	objname = `String()`
	)

inlinestaticinherited

Loads algorithm from a String.

Parameters

strModel	The string variable containing the model you want to load.
objname	The optional name of the node to read (if empty, the first top-level node will be used)

This is static template method of Algorithm. It's usage is following (in the case of SVM):

Ptr<SVM> svm = Algorithm::loadFromString<SVM>(myStringModel);

References CV_WRAP, cv::Ptr< T >::empty(), cv::FileNode::empty(), cv::FileStorage::getFirstTopLevelNode(), cv::FileStorage::MEMORY, and cv::FileStorage::READ.

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void cv::Feature2D::read ( const String & fileName )

inherited

virtual void cv::Feature2D::read ( const FileNode & fn )

virtualinherited

Reads algorithm parameters from a file storage.

Reimplemented from cv::Algorithm.

virtual void cv::Algorithm::save ( const String & filename ) const

virtualinherited

Saves the algorithm to a file.

In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

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

pure virtual

virtual void cv::FastFeatureDetector::setNonmaxSuppression ( bool f )

pure virtualinherited

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

pure virtualinherited

virtual void cv::FastFeatureDetector::setType ( int type )

pure virtualinherited

void cv::Feature2D::write ( const String & fileName ) const

inherited

virtual void cv::Feature2D::write ( FileStorage & fs ) const

virtualinherited

Stores algorithm parameters in a file storage.

Reimplemented from cv::Algorithm.

void cv::Algorithm::writeFormat ( FileStorage & fs ) const

protectedinherited

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

Protected Member Functions

Detailed Description

Member Enumeration Documentation

Member Function Documentation