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Proceedings Paper

Optoelectronic cellular automata for video real-time vision
Author(s): Pierre H. Chavel; Alvaro Cassinelli; I. Glaser
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Paper 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.

Paper Details

Date Published: 24 May 2000
PDF: 8 pages
Proc. SPIE 4089, Optics in Computing 2000, (24 May 2000); doi: 10.1117/12.386805
Show Author Affiliations
Pierre H. Chavel, Institut d'Optique Theorique et Appliquee (France)
Alvaro Cassinelli, Institut d Optique Theorique et Appliquee (France)
I. Glaser, MMRI Photonics Ltd. (Israel)

Published in SPIE Proceedings Vol. 4089:
Optics in Computing 2000
Roger A. Lessard; Tigran V. Galstian, Editor(s)

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