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Proceedings Paper

Synthetic discriminant functions using relaxed constraints
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Paper Abstract

Historically synthetic discriminant functions have been designed using specific constraints in the encoding methodologies. In this paper we consider several design alternatives which eliminate the constraints yet appear to perform equally well with the classical versions. These new encoding methods are also found to require a significant reduction in computation with inherently better encoding accuracy. In addition, we discuss a very simple encoding method that allows for a significant increase in the number of references that can be incorporated in a filter.

Paper Details

Date Published: 25 October 1993
PDF: 12 pages
Proc. SPIE 1959, Optical Pattern Recognition IV, (25 October 1993); doi: 10.1117/12.160283
Show Author Affiliations
S. Richard F. Sims, U.S. Army Aviation and Missile Command (United States)
Jim F. Epperson, Univ. of Alabama in Huntsville (United States)
Bhagavatula Vijaya Kumar, Carnegie Mellon Univ. (United States)
Abhijit Mahalanobis, Martin Marietta Electronic Systems (United States)

Published in SPIE Proceedings Vol. 1959:
Optical Pattern Recognition IV
David P. Casasent, Editor(s)

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