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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 [162] and [163]. More...
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class | BriefDescriptorExtractor |
| Class for computing BRIEF descriptors described in [25] . More...
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class | DAISY |
| Class implementing DAISY descriptor, described in [168]. 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 [120]. More...
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class | LATCH |
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class | LUCID |
| Class implementing the locally uniform comparison image descriptor, described in [206]. More...
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class | MSDDetector |
| Class implementing the MSD (Maximal Self-Dissimilarity) keypoint detector, described in [169]. More...
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class | PCTSignatures |
| Class implementing PCT (position-color-texture) signature extraction as described in [92]. 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 [108] . 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 [9] . 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 [155]. More...
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