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Proceedings Paper

Parameter Estimation And In-Plane Distortion Invariant Chord Processing
Author(s): David Casasent; Wen-Thong Chang
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Paper Abstract

An attractive feature space (chord distributions) for pattern recognition is discussed. New advancements presented are: extensions to 3-D in-plane and out-of-plane distortion-invariant object recognition; new techniques to allow estimation of in-plane distortion parameters; and a new technique to achieve class estimation in the presence of multiple distortions. Quantitative results are provided for a ship data base (for out-of-plane distortions) and for an aircraft data base (for in-plane distortions).

Paper Details

Date Published: 11 December 1985
PDF: 9 pages
Proc. SPIE 0579, Intelligent Robots and Computer Vision IV, (11 December 1985); doi: 10.1117/12.950777
Show Author Affiliations
David Casasent, Carnegie-Mellon University (United States)
Wen-Thong Chang, Carnegie-Mellon University (United States)

Published in SPIE Proceedings Vol. 0579:
Intelligent Robots and Computer Vision IV
David P. Casasent, Editor(s)

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