Parallel Vision

This paper outlines an approach to rapid object recognition based on extraction of primitive image parts, and computation of properties of these parts, using divideand-conquer techniques implemented on a pyramid or hypercube of processors. Object descriptions (as seen from given viewpoints) in terms of parts, properties, and relations are stored in another set of processors, and object hypotheses are triggered by the occurrence of given sets of part properties. The “object processors” then attempt to verify these hypotheses by checking that the parts satisfy given relations.