Creating machines that will see in human-like fashion requires an understanding of human perception. This paper summarizes certain advances in visual science that suggests perception may be structured from a hierarchy of filtered images. It will be shown that a small numbered set of images created from filters based on biological data can provide a rich array of information about any object: contrast, general form, identification, textures and edges. It is argued that machine perception will require similar parallel processing of an array of filtered images if human-like visual performance is required. Some visual problems, such as certain visual illusions, multi-stable objects and masking are analyzed in terms of limitations of biological filtering. Machine solutions to those problems will be discussed.

Date Published: 29 October 1981
PDF: 6 pages
Proc. SPIE 0283, Three-Dimensional Machine Perception, (29 October 1981);

Published in SPIE Proceedings Vol. 0283:
Three-Dimensional Machine Perception
Bruce R. Altschuler, Editor(s)