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- W2164488293 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." @default.
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- W2164488293 date "2008-06-25" @default.
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- W2164488293 title "Photon Counting Linear Discriminant Analysis with Integral Imaging for Occluded Target Recognition" @default.
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- W2164488293 doi "https://doi.org/10.3807/josk.2008.12.2.088" @default.
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