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Detect interest points and keypoints in images. Harris detects corners, FAST finds keypoints quickly, and ORB provides scale-invariant feature detection.
Detect keypoints using Harris, FAST, or ORB — find corners and features in images.
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Feature detection identifies distinctive points in images — corners, edges, and blobs. These keypoints are used for image matching, stitching, object recognition, and tracking.
Harris detects corners using eigenvalue analysis — reliable but slow. FAST is optimized for speed using pixel intensity comparisons. ORB combines FAST detection with BRIEF descriptors and is scale/rotation invariant.