Focal-plane optical flow computation by foveated CNNs

Abstract

Optical flow computation is instrumental in robot guidance. Optoelectronic smart-pixel sensors for such computation may be realized on a single chip, by making use of a suitable cellular neural network architecture defined on a log-polar space-variant grid. Simulations confirm validity of the filtering system, and possible realizable structures are discussed.