🤖 AIによる機械翻訳（非公式） — これは OpenCV 4.13.0 公式リファレンス（英語）を AI (Claude) で自動翻訳したものです。訳に誤りを含む場合があります。正確な情報は 公式英語版（原文） を参照してください。

パッケージ org.opencv.features2d

クラスの概要

Class	Description
AffineFeature	Class for implementing the wrapper which makes detectors and extractors to be affine invariant, described as ASIFT in CITE: YM11 .
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
Features2d
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 .
SIFT	Class for extracting keypoints and computing descriptors using the Scale Invariant Feature Transform (SIFT) algorithm by D.
SimpleBlobDetector	Class for extracting blobs from an image.
SimpleBlobDetector_Params