Package org.bytedeco.opencv.opencv_features2d

Class Summary

Class	Description
Accumulator	\} features2d_main
AffineFeature	\brief Class for implementing the wrapper which makes detectors and extractors to be affine invariant, described as ASIFT in \cite YM11 .
AgastFeatureDetector	\} features2d_main
AKAZE	\brief Class implementing the AKAZE keypoint detector and descriptor extractor, described in \cite ANB13.
BFMatcher	\brief Brute-force descriptor matcher.
BOWImgDescriptorExtractor	\brief Class to compute an image descriptor using the *bag of visual words*.
BOWKMeansTrainer	\brief kmeans -based class to train visual vocabulary using the *bag of visual words* approach.
BOWTrainer	\addtogroup features2d_category /** \{
BRISK	\brief Class implementing the BRISK keypoint detector and descriptor extractor, described in \cite LCS11 .
DescriptorMatcher	\addtogroup features2d_match /** \{
FastFeatureDetector	\} features2d_main
Feature2D	\brief Abstract base class for 2D image feature detectors and descriptor extractors
FlannBasedMatcher	\brief Flann-based descriptor matcher.
GFTTDetector	\brief Wrapping class for feature detection using the goodFeaturesToTrack function.
KAZE	\} features2d_main
KeyPointsFilter	\brief A class filters a vector of keypoints.
MSER	\brief Maximally stable extremal region extractor
ORB	\brief Class implementing the ORB (*oriented BRIEF*) keypoint detector and descriptor extractor
SIFT	\brief Class for extracting keypoints and computing descriptors using the Scale Invariant Feature Transform (SIFT) algorithm by D.
SimpleBlobDetector	\brief Class for extracting blobs from an image.
SimpleBlobDetector.Params