A General Approach To Knowledge-Based Vision

Allen R. Hanson; Edward M. Riseman; Thomas D. Williams

doi:10.1117/12.952673

29 March 1989 A General Approach To Knowledge-Based Vision

Allen R. Hanson, Edward M. Riseman, Thomas D. Williams

Proceedings Volume 1076, Image Understanding and the Man-Machine Interface II; (1989) https://doi.org/10.1117/12.952673
Event: OE/LASE '89, 1989, Los Angeles, CA, United States

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.

Citation Download Citation

Allen R. Hanson, Edward M. Riseman, and Thomas D. Williams "A General Approach To Knowledge-Based Vision", Proc. SPIE 1076, Image Understanding and the Man-Machine Interface II, (29 March 1989); https://doi.org/10.1117/12.952673

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