This technical report consists of an introductory paper and three technical papers presented at the session, “AI Application of Supercomputers: The Vision Problem,”(wherein the major problems in computer vision are outlined, and the “signals to symbols”and the “monolithic computing” (MC) approaches to these problems are described. We note that the availability of parallel computation makes the MC approach feasible) at the Fourth International Conference on Supercomputing, Santa Clara, California, April 30 to May 5, 1989.
Computational sensing-low-power processing publications
This note discusses the adequacy of current computer architectures to serve as a base for building machine vision systems. Arguments are presented to show that perceptual problems cannot be completely formalized and dealt with in a closed abstract system. The conclusion is that the digital computer, organized as a general-purpose symbol processor, cannot serve as an adequate instrument for achieving a human-like visual capability.