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Abstract:
A neural network approach to stereovision is presented based
on aliasing effects of simple disparity estimators and a fast
coherence-detection scheme. Using only realistic neural circuitry,
the network calculates dense disparity maps with an associated
verification count. It simultaneously fuses the left and right
input images into a single cyclopean view.
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