A multilayer massively parallel architecture for optical flow computation

A two-layers architecture for optical flow computation is presented, which uses neural nets in the lower layer and a special relaxation system in the upper layer. The high degree of parallelism of the architecture makes it particularly suitable for real-time applications.<
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