Package org.opencv.xfeatures2d

Class Summary

Class	Description
AffineFeature2D	Class implementing affine adaptation for key points.
BEBLID	Class implementing BEBLID (Boosted Efficient Binary Local Image Descriptor), described in CITE: Suarez2020BEBLID .
BoostDesc	Class implementing BoostDesc (Learning Image Descriptors with Boosting), described in CITE: Trzcinski13a and CITE: Trzcinski13b.
BriefDescriptorExtractor	Class for computing BRIEF descriptors described in CITE: calon2010 .
DAISY	Class implementing DAISY descriptor, described in CITE: Tola10 radius radius of the descriptor at the initial scale q_radius amount of radial range division quantity q_theta amount of angular range division quantity q_hist amount of gradient orientations range division quantity norm choose descriptors normalization type, where DAISY::NRM_NONE will not do any normalization (default), DAISY::NRM_PARTIAL mean that histograms are normalized independently for L2 norm equal to 1.0, DAISY::NRM_FULL mean that descriptors are normalized for L2 norm equal to 1.0, DAISY::NRM_SIFT mean that descriptors are normalized for L2 norm equal to 1.0 but no individual one is bigger than 0.154 as in SIFT H optional 3x3 homography matrix used to warp the grid of daisy but sampling keypoints remains unwarped on image interpolation switch to disable interpolation for speed improvement at minor quality loss use_orientation sample patterns using keypoints orientation, disabled by default.
FREAK	Class implementing the FREAK (*Fast Retina Keypoint*) keypoint descriptor, described in CITE: AOV12 .
HarrisLaplaceFeatureDetector	Class implementing the Harris-Laplace feature detector as described in CITE: Mikolajczyk2004.
LATCH	latch Class for computing the LATCH descriptor.
LUCID	Class implementing the locally uniform comparison image descriptor, described in CITE: LUCID An image descriptor that can be computed very fast, while being about as robust as, for example, SURF or BRIEF.
MSDDetector	Class implementing the MSD (*Maximal Self-Dissimilarity*) keypoint detector, described in CITE: Tombari14.
PCTSignatures	Class implementing PCT (position-color-texture) signature extraction as described in CITE: KrulisLS16.
PCTSignaturesSQFD	Class implementing Signature Quadratic Form Distance (SQFD).
StarDetector	The class implements the keypoint detector introduced by CITE: Agrawal08, synonym of StarDetector.
SURF	Class for extracting Speeded Up Robust Features from an image CITE: Bay06 .
SURF_CUDA	Class used for extracting Speeded Up Robust Features (SURF) from an image.
TBMR	Class implementing the Tree Based Morse Regions (TBMR) as described in CITE: Najman2014 extended with scaled extraction ability.
TEBLID	Class implementing TEBLID (Triplet-based Efficient Binary Local Image Descriptor), described in CITE: Suarez2021TEBLID.
VGG	Class implementing VGG (Oxford Visual Geometry Group) descriptor trained end to end using "Descriptor Learning Using Convex Optimisation" (DLCO) aparatus described in CITE: Simonyan14.
Xfeatures2d