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Proceedings Paper

A General Approach To Knowledge-Based Vision
Author(s): Allen R. Hanson; Edward M. Riseman; Thomas D. Williams
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Paper Abstract

The construction of a symbolic description from a digitized image is a difficult problem. It is our position that effective utilization of uncertain and unreliable information contained in an image requires the application of knowledge-based constraints obtained from world models and expectations. In this paper, we first examine some of the research issues involved in constructing knowledge-based vision systems. We then briefly describe the VISIONS image understanding system and show sample results on two outdoor images. We conclude with an examination of the issues blocking the widespread practical application of knowledge-based vision. A key factor has been the absence of commercially available shells to reduce the impact of systems development on the vision researcher. The K VisionTM system of Amerinex Artificial Intelligence may help to overcome this problem.

Paper Details

Date Published: 29 March 1989
PDF: 14 pages
Proc. SPIE 1076, Image Understanding and the Man-Machine Interface II, (29 March 1989); doi: 10.1117/12.952673
Show Author Affiliations
Allen R. Hanson, University of Massachusetts (United States)
Edward M. Riseman, University of Massachusetts (United States)
Thomas D. Williams, Amerinex Artificial Intelligence Corp. (United States)

Published in SPIE Proceedings Vol. 1076:
Image Understanding and the Man-Machine Interface II
Eamon B. Barrett; James J. Pearson, Editor(s)

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