cv::xfeatures2d Namespace Reference

Classes
class	BoostDesc
	Class implementing BoostDesc (Learning Image Descriptors with Boosting), described in [148] and [149]. More...
class	BriefDescriptorExtractor
	Class for computing BRIEF descriptors described in [25] . More...
class	DAISY
	Class implementing DAISY descriptor, described in [153]. More...
class	FREAK
	Class implementing the FREAK (Fast Retina Keypoint) keypoint descriptor, described in [4] . More...
class	LATCH
class	LUCID
	Class implementing the locally uniform comparison image descriptor, described in [186]. More...
class	MSDDetector
	Class implementing the MSD (Maximal Self-Dissimilarity) keypoint detector, described in [154]. More...
class	PCTSignatures
	Class implementing PCT (position-color-texture) signature extraction as described in [86]. The algorithm is divided to a feature sampler and a clusterizer. Feature sampler produces samples at given set of coordinates. Clusterizer then produces clusters of these samples using k-means algorithm. Resulting set of clusters is the signature of the input image. 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 [101] . More...
class	StarDetector
	The class implements the keypoint detector introduced by [2], synonym of StarDetector. : More...
class	SURF
	Class for extracting Speeded Up Robust Features from an image [9] . 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 [141]. More...

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