Package | Description |
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org.bytedeco.opencv.opencv_xfeatures2d |
Class and Description |
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AffineFeature2D
\brief Class implementing affine adaptation for key points.
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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 .
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DAISY
\brief Class implementing DAISY descriptor, described in \cite Tola10
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Elliptic_KeyPoint
\brief Elliptic region around an interest point.
|
FREAK
\addtogroup xfeatures2d_experiment
\{
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HarrisLaplaceFeatureDetector
\brief Class implementing the Harris-Laplace feature detector as described in \cite Mikolajczyk2004.
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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.
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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.
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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.
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