7 May 2007 Three-dimensional passive sensing photon counting for object classification
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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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Seokwon Yeom, Seokwon Yeom, Bahram Javidi, Bahram Javidi, Edward Watson, Edward Watson, } "Three-dimensional passive sensing photon counting for object classification", Proc. SPIE 6566, Automatic Target Recognition XVII, 656609 (7 May 2007); doi: 10.1117/12.722433; https://doi.org/10.1117/12.722433

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