title: Stereo vision by self-organization.
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.
authors.affiliation: Institut für Theoretische Physik und Synergetik, Stuttgart, Germany.
authors.forename: D
authors.initials: D
authors.lastname: Reimann
authors.forename: H
authors.initials: H
authors.lastname: Haken
mesh_terms: D000465:Algorithms; D003491:Cybernetics; D003867:Depth Perception / Q000502:physiology*; D006801:Humans; D008954:Models, Biological; D010364:Pattern Recognition, Visual / Q000502:physiology; D015357:Vision Disparity / Q000502:physiology