Package org.opencv.features2d


package org.opencv.features2d
  • Classes
    Class
    Description
    Class 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 extractors
     
    Flann-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.