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| class | AffineFeature2D | 
|  | Class implementing affine adaptation for key points.  More... 
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| class | BoostDesc | 
|  | Class implementing BoostDesc (Learning Image Descriptors with Boosting), described in [196] and [197].  More... 
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| class | BriefDescriptorExtractor | 
|  | Class for computing BRIEF descriptors described in [33] .  More... 
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| class | DAISY | 
|  | Class implementing DAISY descriptor, described in [203].  More... 
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| class | Elliptic_KeyPoint | 
|  | Elliptic region around an interest point.  More... 
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| class | FREAK | 
|  | Class implementing the FREAK (Fast Retina Keypoint) keypoint descriptor, described in [4] .  More... 
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| class | HarrisLaplaceFeatureDetector | 
|  | Class implementing the Harris-Laplace feature detector as described in [149].  More... 
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| class | LATCH | 
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| class | LUCID | 
|  | Class implementing the locally uniform comparison image descriptor, described in [245].  More... 
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| class | MSDDetector | 
|  | Class implementing the MSD (Maximal Self-Dissimilarity) keypoint detector, described in [204].  More... 
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| class | PCTSignatures | 
|  | Class implementing PCT (position-color-texture) signature extraction as described in [114]. The algorithm is divided to a feature sampler and a clusterizer. Feature sampler produces samples at given set of coordinates. Clusterizer then produces clusters of these samples using k-means algorithm. Resulting set of clusters is the signature of the input image.  More... 
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| class | PCTSignaturesSQFD | 
|  | Class implementing Signature Quadratic Form Distance (SQFD).  More... 
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| class | SIFT | 
|  | Class for extracting keypoints and computing descriptors using the Scale Invariant Feature Transform (SIFT) algorithm by D. Lowe [132] .  More... 
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| class | StarDetector | 
|  | The class implements the keypoint detector introduced by [2], synonym of StarDetector. :  More... 
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| class | SURF | 
|  | Class for extracting Speeded Up Robust Features from an image [12] .  More... 
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| class | VGG | 
|  | Class implementing VGG (Oxford Visual Geometry Group) descriptor trained end to end using "Descriptor Learning Using Convex Optimisation" (DLCO) aparatus described in [187].  More... 
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| void | FASTForPointSet (InputArray image, std::vector< KeyPoint > &keypoints, int threshold, bool nonmaxSuppression=true, int type=FastFeatureDetector::TYPE_9_16) | 
|  | Estimates cornerness for prespecified KeyPoints using the FAST algorithm.  More... 
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| void | matchGMS (const Size &size1, const Size &size2, const std::vector< KeyPoint > &keypoints1, const std::vector< KeyPoint > &keypoints2, const std::vector< DMatch > &matches1to2, std::vector< DMatch > &matchesGMS, const bool withRotation=false, const bool withScale=false, const double thresholdFactor=6.0) | 
|  | GMS (Grid-based Motion Statistics) feature matching strategy by [17] .  More... 
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