title: Parallel integration of vision modules.
abstract: Computer algorithms have been developed for several early vision processes, such as edge detection, stereopsis, motion, texture, and color, that give separate cues to the distance from the viewer of three-dimensional surfaces, their shape, and their material properties. Not surprisingly, biological vision systems still greatly outperform computer vision programs. One of the keys to the reliability, flexibility, and robustness of biological vision systems is their ability to integrate several visual cues. A computational technique for integrating different visual cues has now been developed and implemented with encouraging results on a parallel supercomputer.
authors.affiliation: Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge 02139.
authors.forename: T
authors.initials: T
authors.lastname: Poggio
authors.forename: E B
authors.initials: EB
authors.lastname: Gamble
authors.forename: J J
authors.initials: JJ
authors.lastname: Little
mesh_terms: D000465:Algorithms; D003118:Color Perception; D003867:Depth Perception; D006801:Humans; D008954:Models, Biological; D008960:Models, Psychological; D009039:Motion Perception; D014785:Vision, Ocular; D014796:Visual Perception