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Proceedings Paper

Three-dimensional passive sensing photon counting for object classification
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Paper Abstract

In this keynote address, we address three-dimensional (3D) distortion-tolerant object recognition using photon-counting integral imaging (II). A photon-counting linear discriminant analysis (LDA) is discussed for classification of photon-limited images. We develop a compact distortion-tolerant recognition system based on the multiple-perspective imaging of II. Experimental and simulation results have shown that a low level of photons is sufficient to classify out-of-plane rotated objects.

Paper Details

Date Published: 7 May 2007
PDF: 6 pages
Proc. SPIE 6566, Automatic Target Recognition XVII, 656609 (7 May 2007); doi: 10.1117/12.722433
Show Author Affiliations
Seokwon Yeom, Daegu Univ. (South Korea)
Bahram Javidi, Univ. of Connecticut (United States)
Edward Watson, Air Force Research Labs. (United States)

Published in SPIE Proceedings Vol. 6566:
Automatic Target Recognition XVII
Firooz A. Sadjadi, Editor(s)

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