Proceedings Paper
Biologically inspired image interpretation and automatic target recognition technologies| Format | Member Price | Non-Member Price |
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Paper Abstract
Biologically-based computer vision systems are now available that achieve robust image interpretation and automatic target recognition (ATR) performance. We describe two such systems and the reasons behind their robust performance. We also report results of three studies that demonstrate this robustness.
Paper Details
Date Published: 25 August 2003
PDF: 12 pages
Proc. SPIE 5096, Signal Processing, Sensor Fusion, and Target Recognition XII, (25 August 2003); doi: 10.1117/12.487777
Published in SPIE Proceedings Vol. 5096:
Signal Processing, Sensor Fusion, and Target Recognition XII
Ivan Kadar, Editor(s)
PDF: 12 pages
Proc. SPIE 5096, Signal Processing, Sensor Fusion, and Target Recognition XII, (25 August 2003); doi: 10.1117/12.487777
Show Author Affiliations
David T. Sheerin, QinetiQ (United Kingdom)
Theodore J. Doll, Georgia Tech Research Institute (United States)
Theodore J. Doll, Georgia Tech Research Institute (United States)
Chun Kit Chiu, Georgia Tech Research Institute (United States)
Richard Home, QinetiQ (United Kingdom)
Richard Home, QinetiQ (United Kingdom)
Published in SPIE Proceedings Vol. 5096:
Signal Processing, Sensor Fusion, and Target Recognition XII
Ivan Kadar, Editor(s)
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