Package org.bytedeco.opencv.opencv_xfeatures2d

Class Summary

Class	Description
AffineFeature2D	\brief Class implementing affine adaptation for key points.
BoostDesc	\brief Class implementing BoostDesc (Learning Image Descriptors with Boosting), described in \cite Trzcinski13a and \cite Trzcinski13b.
BriefDescriptorExtractor	\brief Class for computing BRIEF descriptors described in \cite calon2010 .
DAISY	\brief Class implementing DAISY descriptor, described in \cite Tola10
Elliptic_KeyPoint	\brief Elliptic region around an interest point.
FREAK	\addtogroup xfeatures2d_experiment \{
HarrisLaplaceFeatureDetector	\brief Class implementing the Harris-Laplace feature detector as described in \cite Mikolajczyk2004.
LATCH	latch Class for computing the LATCH descriptor.
LUCID	\brief Class implementing the locally uniform comparison image descriptor, described in \cite LUCID
MSDDetector	\brief Class implementing the MSD (*Maximal Self-Dissimilarity*) keypoint detector, described in \cite Tombari14.
PCTSignatures	\brief Class implementing PCT (position-color-texture) signature extraction as described in \cite KrulisLS16.
PCTSignaturesSQFD	\brief Class implementing Signature Quadratic Form Distance (SQFD).
SIFT	\brief Class for extracting keypoints and computing descriptors using the Scale Invariant Feature Transform (SIFT) algorithm by D.
StarDetector	\brief The class implements the keypoint detector introduced by \cite Agrawal08, synonym of StarDetector.
SURF	\brief Class for extracting Speeded Up Robust Features from an image \cite Bay06 .
VGG	\brief Class implementing VGG (Oxford Visual Geometry Group) descriptor trained end to end using "Descriptor Learning Using Convex Optimisation" (DLCO) aparatus described in \cite Simonyan14.