Proceedings Paper
A Distortion-Invariant Pattern Recognition Algorithm| Format | Member Price | Non-Member Price |
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Paper Abstract
A position, rotation, and scale invariant pattern recognition algorithm which is robust in non-random cluttered scenes is described. The algorithm's ability to address background noise problems found in target recognition work is examined. Simulation results using realistic aircraft scenes are also presented.
Paper Details
Date Published: 27 March 1987
PDF: 10 pages
Proc. SPIE 0726, Intelligent Robots and Computer Vision V, (27 March 1987); doi: 10.1117/12.937713
Published in SPIE Proceedings Vol. 0726:
Intelligent Robots and Computer Vision V
David P. Casasent, Editor(s)
PDF: 10 pages
Proc. SPIE 0726, Intelligent Robots and Computer Vision V, (27 March 1987); doi: 10.1117/12.937713
Show Author Affiliations
T. Martin, U.S. Air Force Institute of Technology (United States)
W. G. Kobel, U.S. Air Force Institute of Technology (United States)
S. K. Rogers, U.S. Air Force Institute of Technology (United States)
W. G. Kobel, U.S. Air Force Institute of Technology (United States)
S. K. Rogers, U.S. Air Force Institute of Technology (United States)
M. Kabrisky, U.S. Air Force Institute of Technology (United States)
J. P. Mills, U.S. Air Force Institute of Technology (United States)
J. P. Mills, U.S. Air Force Institute of Technology (United States)
Published in SPIE Proceedings Vol. 0726:
Intelligent Robots and Computer Vision V
David P. Casasent, Editor(s)
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