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.


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    Title :

    Optoelectronic cellular automata for video real-time vision


    Contributors:

    Conference:

    Optics in Computing 2000 ; 2000 ; Quebec City,Canada


    Published in:

    Publication date :

    2000-05-24





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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