The MIT vision machine

Computer vision has developed algorithms for several early vision processes, such as edge detection, stereopsis, motion, texture, and color, which give separate cues as to the distance from the viewer of three-dimensional surfaces, their shape, and their material properties. Biological vision systems, however, greatly outperform computer vision programs. I t is clear that one of the keys to the reliability, flexibility, and robustness of biological vision system in unconstrained environments is their ability to integrate many diEerent visual cues. For this reason, we continue the development of a Vision Machine system to explore the issue of intagration of early vision modules. The s m a h serves the purpose of developing parallel vision algorithms, because its main computational engine is a parallel superwmputer, the Connection Machine.

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