Feature Matching

Finding corresponding features between two images by comparing their descriptors. SIFT, SURF, ORB, and BRISK are classical hand-crafted feature matchers. SuperGlue and LightGlue are learned matchers. Feature matching is used in visual SLAM (loop closure, relocalization) and object recognition. Ratio test and RANSAC filter outlier matches.