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7 May 2007 Three-dimensional passive sensing photon counting for object classification
Seokwon Yeom, Bahram Javidi, Edward Watson
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Proceedings Volume 6566, Automatic Target Recognition XVII; 656609 (2007) https://doi.org/10.1117/12.722433
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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Seokwon Yeom, Bahram Javidi, and Edward Watson "Three-dimensional passive sensing photon counting for object classification", Proc. SPIE 6566, Automatic Target Recognition XVII, 656609 (7 May 2007); https://doi.org/10.1117/12.722433
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KEYWORDS
3D image processing
Photon counting
Imaging systems
Image classification
Integral imaging
3D acquisition
Passive remote sensing
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