A new approach to detecting the corners in digital images

The corners are important features in images that are frequently used for scene analysis, image matching and object tracking. In this paper, a new corner detector is presented that is based on a theory that takes into account relatively complicated situations that may occur in the neighbourhoods of the corner candidates. The new detector was implemented, tested, and compared with several other existing algorithms that are often used to solve the problem. In the sense of successfulness and stability of detection, the new algorithm was better in the tests than the other algorithms that were used for comparison. The ANSI C code of the detector is available to the public.