Abstract
We propose a new algorithm for stereoscopic depth perception, where the depth map is the momentary state of a dynamic process. To each image point we assign a set of possible disparity values. In a dynamic process with competition and cooperation, the correct disparity value is selected for each image point. Therefore, we solve the correspondence problem by a dynamic, self-organizing process, the structure of which shows analogies to the human visual system. The algorithm can be implemented in a massive parallel manner and yields good results for either artificial or natural images.
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Reimann, D., Haken, H. Stereo vision by self-organization. Biol. Cybern. 71, 17–26 (1994). https://doi.org/10.1007/BF00198908
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DOI: https://doi.org/10.1007/BF00198908