Tomasz P. Jannson

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In this work, we have developed a new bio-inspired neural network algorithms for block-based motion estimation. The main goal is to bridge the gap between algorithmic and biological vision by suggesting a bio-inspired motion estimation model based on neural network. We simplify the matching criterion for the block matching algorithm to reduce the hardware(More)
In order to make highly parallel large-scale optical adaptive neural computers for recognition, vision, and other man-machine interface applications, a new technological approach to all-optic neurons and adaptive synapses of layered and segmented neural architectures is approached. Basic optical elements will be used in the proposed three-layer segmented(More)
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