Uses of Package
org.opencv.features2d

Packages that use org.opencv.features2d

Package	Description
org.opencv.features2d
org.opencv.xfeatures2d

Classes in org.opencv.features2d used by org.opencv.features2d

Class and Description
AgastFeatureDetector Wrapping class for feature detection using the AGAST method.
AKAZE Class implementing the AKAZE keypoint detector and descriptor extractor, described in CITE: ANB13.
BFMatcher Brute-force descriptor matcher.
BOWImgDescriptorExtractor Class to compute an image descriptor using the *bag of visual words*.
BOWKMeansTrainer kmeans -based class to train visual vocabulary using the *bag of visual words* approach.
BOWTrainer Abstract base class for training the *bag of visual words* vocabulary from a set of descriptors.
BRISK Class implementing the BRISK keypoint detector and descriptor extractor, described in CITE: LCS11 .
DescriptorMatcher Abstract base class for matching keypoint descriptors.
FastFeatureDetector Wrapping class for feature detection using the FAST method.
Feature2D Abstract base class for 2D image feature detectors and descriptor extractors
FlannBasedMatcher Flann-based descriptor matcher.
GFTTDetector Wrapping class for feature detection using the goodFeaturesToTrack function.
KAZE Class implementing the KAZE keypoint detector and descriptor extractor, described in CITE: ABD12 .
MSER 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)).
ORB Class implementing the ORB (*oriented BRIEF*) keypoint detector and descriptor extractor described in CITE: RRKB11 .
Params
SimpleBlobDetector Class for extracting blobs from an image.

Classes in org.opencv.features2d used by org.opencv.xfeatures2d

Class and Description
Feature2D Abstract base class for 2D image feature detectors and descriptor extractors