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.

See this in practice: the hardware store →