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Proceedings Paper

TVS: An Environment For Building Knowledge-Based Vision Systems
Author(s): Terry E. Weymouth; Amir A. Amini; Saeid Tehrani
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Paper Abstract

Advances in the field of knowledge-guided computer vision require the development of large scale projects and experimentation with them. One factor which impedes such development is the lack of software environments which combine standard image processing and graphics abilities with the ability to perform symbolic processing. In this paper, we describe a software environment that assists in the development of knowledge-based computer vision projects. We have built, upon Common LISP and C, a software development environment which combines standard image processing tools and a standard blackboard-based system, with the flexibility of the LISP programming environment. This environment has been used to develop research projects in knowledge-based computer vision and dynamic vision for robot navigation.

Paper Details

Date Published: 21 March 1989
PDF: 12 pages
Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); doi: 10.1117/12.969318
Show Author Affiliations
Terry E. Weymouth, University of Michigan (United States)
Amir A. Amini, University of Michigan (United States)
Saeid Tehrani, University of Michigan (United States)

Published in SPIE Proceedings Vol. 1095:
Applications of Artificial Intelligence VII
Mohan M. Trivedi, Editor(s)

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