Package org.opencv.features2d
package org.opencv.features2d
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ClassesClassDescriptionClass for implementing the wrapper which makes detectors and extractors to be affine invariant, described as ASIFT in CITE: YM11 .Wrapping class for feature detection using the AGAST method.Class implementing the AKAZE keypoint detector and descriptor extractor, described in CITE: ANB13.Brute-force descriptor matcher.Class to compute an image descriptor using the *bag of visual words*.kmeans -based class to train visual vocabulary using the *bag of visual words* approach.Abstract base class for training the *bag of visual words* vocabulary from a set of descriptors.Class implementing the BRISK keypoint detector and descriptor extractor, described in CITE: LCS11 .Abstract base class for matching keypoint descriptors.Wrapping class for feature detection using the FAST method.Abstract base class for 2D image feature detectors and descriptor extractorsFlann-based descriptor matcher.Wrapping class for feature detection using the goodFeaturesToTrack function.Class implementing the KAZE keypoint detector and descriptor extractor, described in CITE: ABD12 .Maximally stable extremal region extractor The class encapsulates all the parameters of the %MSER extraction algorithm (see [wiki article](http://en.wikipedia.org/wiki/Maximally_stable_extremal_regions)).Class implementing the ORB (*oriented BRIEF*) keypoint detector and descriptor extractor described in CITE: RRKB11 .Class for extracting keypoints and computing descriptors using the Scale Invariant Feature Transform (SIFT) algorithm by D.Class for extracting blobs from an image.