Descriptor Matching

Descriptor matching is a process used in computer vision to identify similarities between features in different images. It involves extracting unique patterns, called descriptors, from key points in images—like corners or edges—and then comparing these descriptors to find matches. This helps in tasks such as recognizing objects, stitching images together, or tracking motion. Think of descriptors as detailed fingerprints for image features; matching them allows systems to determine if parts of different images represent the same object or scene.