SIFT Descriptor

SIFT is one of the most effective and historically important local feature methods in classical computer vision. Its scale- and rotation-invariant keypoint description made it the standard approach for matching and image registration for many years. It shaped the pre-deep-feature era and still retains value today in interpretable and low-data scenarios.