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http://dx.doi.org/10.3807/JOSK.2008.12.2.088

Photon Counting Linear Discriminant Analysis with Integral Imaging for Occluded Target Recognition  

Yeom, Seok-Won (School of Computer and Communication Engineering, Daegu University)
Javidi, Bahram (Department of Electrical and Computer Engineering, University of Connecticut)
Publication Information
Journal of the Optical Society of Korea / v.12, no.2, 2008 , pp. 88-92 More about this Journal
Abstract
This paper discusses a photon-counting linear discriminant analysis (LDA) with computational integral imaging (II). The computational II method reconstructs three-dimensional (3D) objects on the reconstruction planes located at arbitrary depth-levels. A maximum likelihood estimation (MLE) can be used to estimate the Poisson parameters of photon counts in the reconstruction space. The photon-counting LDA combined with the computational II method is developed in order to classify partially occluded objects with photon-limited images. Unknown targets are classified with the estimated Poisson parameters while reconstructed irradiance images are trained. It is shown that a low number of photons are sufficient to classify occluded objects with the proposed method.
Keywords
photon counting recognition; photon counting linear discriminant analysis (LDA); integral imaging; computational reconstruction; occluded target recognition; pattern classification;
Citations & Related Records

Times Cited By Web Of Science : 2  (Related Records In Web of Science)
Times Cited By SCOPUS : 3
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