Uses of Package
org.opencv.xfeatures2d

Packages that use org.opencv.xfeatures2d

Package	Description
org.opencv.xfeatures2d

Classes in org.opencv.xfeatures2d used by org.opencv.xfeatures2d

Class and Description
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).
SIFT Class for extracting keypoints and computing descriptors using the Scale Invariant Feature Transform (SIFT) algorithm by D.
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.
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.