| AffineFeature2D |
Class implementing affine adaptation for key points.
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| AgastFeatureDetector |
Wrapping class for feature detection using the AGAST method.
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| AKAZE |
Class implementing the AKAZE keypoint detector and descriptor extractor, described in CITE: ANB13.
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| BEBLID |
Class implementing BEBLID (Boosted Efficient Binary Local Image Descriptor),
described in CITE: Suarez2020BEBLID .
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| BoostDesc |
Class implementing BoostDesc (Learning Image Descriptors with Boosting), described in
CITE: Trzcinski13a and CITE: Trzcinski13b.
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| BOWImgDescriptorExtractor |
Class to compute an image descriptor using the *bag of visual words*.
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| BOWKMeansTrainer |
kmeans -based class to train visual vocabulary using the *bag of visual words* approach.
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| BOWTrainer |
Abstract base class for training the *bag of visual words* vocabulary from a set of descriptors.
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| BriefDescriptorExtractor |
Class for computing BRIEF descriptors described in CITE: calon2010 .
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| BRISK |
Class implementing the BRISK keypoint detector and descriptor extractor, described in CITE: LCS11 .
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| 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.
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| FREAK |
Class implementing the FREAK (*Fast Retina Keypoint*) keypoint descriptor, described in CITE: AOV12 .
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| HarrisLaplaceFeatureDetector |
Class implementing the Harris-Laplace feature detector as described in CITE: Mikolajczyk2004.
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| KAZE |
Class implementing the KAZE keypoint detector and descriptor extractor, described in CITE: ABD12 .
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| LATCH |
latch Class for computing the LATCH descriptor.
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| 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.
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| MSDDetector |
Class implementing the MSD (*Maximal Self-Dissimilarity*) keypoint detector, described in CITE: Tombari14.
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| PCTSignatures |
Class implementing PCT (position-color-texture) signature extraction
as described in CITE: KrulisLS16.
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| PCTSignaturesSQFD |
Class implementing Signature Quadratic Form Distance (SQFD).
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| StarDetector |
The class implements the keypoint detector introduced by CITE: Agrawal08, synonym of StarDetector.
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| SURF |
Class for extracting Speeded Up Robust Features from an image CITE: Bay06 .
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| SURF_CUDA |
Class used for extracting Speeded Up Robust Features (SURF) from an image.
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| TBMR |
Class implementing the Tree Based Morse Regions (TBMR) as described in
CITE: Najman2014 extended with scaled extraction ability.
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| TEBLID |
Class implementing TEBLID (Triplet-based Efficient Binary Local Image Descriptor),
described in CITE: Suarez2021TEBLID.
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| 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.
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| Xfeatures2d |
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