cv::xfeatures2d Namespace Reference

Classes
class	AffineFeature2D
	Class implementing affine adaptation for key points. More...
class	BoostDesc
	Class implementing BoostDesc (Learning Image Descriptors with Boosting), described in. More...
class	BriefDescriptorExtractor
	Class for computing BRIEF descriptors described in. More...
class	DAISY
	Class implementing DAISY descriptor, described in. More...
class	Elliptic_KeyPoint
	Elliptic region around an interest point. More...
class	FREAK
	Class implementing the FREAK (Fast Retina Keypoint) keypoint descriptor, described in. More...
class	HarrisLaplaceFeatureDetector
	Class implementing the Harris-Laplace feature detector as described in. More...
class	LATCH
class	LUCID
	Class implementing the locally uniform comparison image descriptor, described in. More...
class	MSDDetector
	Class implementing the MSD (Maximal Self-Dissimilarity) keypoint detector, described in. More...
class	PCTSignatures
	Class implementing PCT (position-color-texture) signature extraction as described in. More...
class	PCTSignaturesSQFD
	Class implementing Signature Quadratic Form Distance (SQFD). More...
class	SIFT
	Class for extracting keypoints and computing descriptors using the Scale Invariant Feature Transform (SIFT) algorithm by D. Lowe. More...
class	StarDetector
	The class implements the keypoint detector introduced by. More...
class	SURF
	Class for extracting Speeded Up Robust Features from an image. More...
class	VGG
	Class implementing VGG (Oxford Visual Geometry Group) descriptor trained end to end using "Descriptor Learning Using Convex Optimisation" (DLCO) aparatus described in. More...

Typedefs
typedef SIFT	SiftDescriptorExtractor
typedef SIFT	SiftFeatureDetector
typedef SURF	SurfDescriptorExtractor
typedef SURF	SurfFeatureDetector

Functions
void	FASTForPointSet (InputArray image, std::vector< KeyPoint > &keypoints, int threshold, bool nonmaxSuppression=true, cv::FastFeatureDetector::DetectorType type=FastFeatureDetector::TYPE_9_16)
	Estimates cornerness for prespecified KeyPoints using the FAST algorithm.
void	matchGMS (const Size &size1, const Size &size2, const std::vector< KeyPoint > &keypoints1, const std::vector< KeyPoint > &keypoints2, const std::vector< DMatch > &matches1to2, std::vector< DMatch > &matchesGMS, const bool withRotation=false, const bool withScale=false, const double thresholdFactor=6.0)
	GMS (Grid-based Motion Statistics) feature matching strategy by.