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Proceedings Paper

Distortion-tolerant object classification using photon counting three-dimensional integral imaging
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Paper Abstract

In this paper, we address distortion-tolerant object recognition using photon-counting three-dimensional (3D) integral imaging (II). A photon-counting linear discriminant analysis (LDA) is reviewed for classification of out-of-plane rotated objects. We also investigate the effect of a large number of photons and the irradiance change in training and test objects.

Paper Details

Date Published: 26 September 2007
PDF: 6 pages
Proc. SPIE 6778, Three-Dimensional TV, Video, and Display VI, 67780M (26 September 2007); doi: 10.1117/12.732362
Show Author Affiliations
Seokwon Yeom, Daegu Univ. (South Korea)
Bahram Javidi, Univ. of Connecticut (United States)
Edward Watson, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 6778:
Three-Dimensional TV, Video, and Display VI
Bahram Javidi; Fumio Okano; Jung-Young Son, Editor(s)

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