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Proceedings Paper

VEST - The Visual. Expert Syptep Testbed
Author(s): Stephen D. Tynor; Chi -Cheung Tsang; Kurt Gingher; John F. Gilmore
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Paper Abstract

Vision systems have been utilized in a variety of applications over the last thirty years. As each application is usually considered to be unique, many organizations have reinvented (or recoded) existing algorithms rather than drawing from outside sources. This paper describes the VEST computer vision system which provides the user with a core of the most widely used computer vision algorithms. Combined with its knowledge base system architecture, VEST allows the user to create an advanced computer vision baseline system to exploit specific application domains.

Paper Details

Date Published: 26 March 1986
PDF: 9 pages
Proc. SPIE 0635, Applications of Artificial Intelligence III, (26 March 1986); doi: 10.1117/12.964132
Show Author Affiliations
Stephen D. Tynor, Georgia Tech Research Institute (United States)
Chi -Cheung Tsang, Georgia Tech Research Institute (United States)
Kurt Gingher, Georgia Tech Research Institute (United States)
John F. Gilmore, Georgia Tech Research Institute (United States)

Published in SPIE Proceedings Vol. 0635:
Applications of Artificial Intelligence III
John F. Gilmore, Editor(s)

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