Inheritance diagram for cv::AgastFeatureDetector_Impl:

Collaboration diagram for cv::AgastFeatureDetector_Impl:

Public Types
enum	{ AGAST_5_8 = 0, AGAST_7_12d = 1, AGAST_7_12s = 2, OAST_9_16 = 3, THRESHOLD = 10000, NONMAX_SUPPRESSION = 10001 }

Public Member Functions
	AgastFeatureDetector_Impl (int _threshold, bool _nonmaxSuppression, int _type)

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 int	defaultNorm () const

virtual int	descriptorSize () const

virtual int	descriptorType () const

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...

void	detect (InputArray _image, std::vector< KeyPoint > &keypoints, InputArray _mask)
	Detects keypoints in an image (first variant) or image set (second variant). 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 bool	empty () const
	Return true if detector object is empty. More...

double	get (int prop) const

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

bool	getNonmaxSuppression () const

int	getThreshold () const

int	getType () const

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...

void	set (int prop, double value)

void	setNonmaxSuppression (bool f)

void	setThreshold (int threshold_)

void	setType (int type_)

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< AgastFeatureDetector >	create (int threshold=10, bool nonmaxSuppression=true, int type=AgastFeatureDetector::OAST_9_16)

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...

Public Attributes
bool	nonmaxSuppression

int	threshold

int	type

Protected Member Functions
void	writeFormat (FileStorage &fs) const

Member Enumeration Documentation

anonymous enum

inherited

Enumerator
AGAST_5_8
AGAST_7_12d
AGAST_7_12s
OAST_9_16
THRESHOLD
NONMAX_SUPPRESSION

Constructor & Destructor Documentation

cv::AgastFeatureDetector_Impl::AgastFeatureDetector_Impl	(	int	_threshold,
		bool	_nonmaxSuppression,
		int	_type
	)

inline

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.

Ptr< AgastFeatureDetector > cv::AgastFeatureDetector::create	(	int	threshold = `10`,
		bool	nonmaxSuppression = `true`,
		int	type = `AgastFeatureDetector::OAST_9_16`
	)

staticinherited

References nonmaxSuppression, threshold, and type.

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	(	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].

void cv::AgastFeatureDetector_Impl::detect	(	InputArray	image,
		std::vector< KeyPoint > &	keypoints,
		InputArray	mask
	)

inlinevirtual

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 from cv::Feature2D.

References cv::AGAST(), cv::COLOR_BGR2GRAY, CV_8U, cv::cvtColor(), cv::_InputArray::getMat(), cv::_InputArray::isUMat(), nonmaxSuppression, cv::KeyPointsFilter::runByPixelsMask(), threshold, cv::_InputArray::type(), and type.

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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 bool cv::Feature2D::empty ( ) const

virtualinherited

Return true if detector object is empty.

Reimplemented from cv::Algorithm.

double cv::AgastFeatureDetector_Impl::get ( int prop ) const

inline

References CV_Error, cv::AgastFeatureDetector::NONMAX_SUPPRESSION, nonmaxSuppression, cv::Error::StsBadArg, cv::AgastFeatureDetector::THRESHOLD, and threshold.

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.

bool cv::AgastFeatureDetector_Impl::getNonmaxSuppression ( ) const

inlinevirtual

Implements cv::AgastFeatureDetector.

References nonmaxSuppression.

int cv::AgastFeatureDetector_Impl::getThreshold ( ) const

inlinevirtual

Implements cv::AgastFeatureDetector.

References threshold.

int cv::AgastFeatureDetector_Impl::getType ( ) const

inlinevirtual

Implements cv::AgastFeatureDetector.

References type.

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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