A retinomorphic VLSI smart sensor for invariant geometric object recognition

A description is given of the development of a VLSI smart sensor which borrows some mechanisms used by the human eye to generate abstractions of simple line drawings which are invariant with respect to scale and position. Simulation results are presented to show that the representation generated is invariant with respect to the transformations mentioned above. It is shown that such a sensor is capable of real-time performance, yields a considerably higher resolution than conventional schemes, and is similar in some important respects to the human visual system. Two implementation schemes are described, and the extension of the method to gray-scale images is discussed