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24 May 2000 Optoelectronic cellular automata for video real-time vision
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Proceedings Volume 4089, Optics in Computing 2000; (2000) https://doi.org/10.1117/12.386805
Event: 2000 International Topical Meeting on Optics in Computing (OC2000), 2000, Quebec City, Canada
Abstract
In this work, we elaborate on the compromise between the efficiency of a multiprocessor computer architecture for handling large classes of computing tasks and the good performance of optics for implementing shift invariant operations, in particular convolution. We derive a class of processors, optoelectronic cellular automata, that can efficiently implement intensive, low level vision tasks in a time compatible with application constraints up to standard video rates. As one illustration, a parallel simulated annealing task performing motion detection on an image sequence is demonstrated.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pierre H. Chavel, Alvaro Cassinelli, and I. Glaser "Optoelectronic cellular automata for video real-time vision", Proc. SPIE 4089, Optics in Computing 2000, (24 May 2000); https://doi.org/10.1117/12.386805
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