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Proceedings Paper

Three-dimensional (3D) visualization and recognition using truncated photon counting model and integral imaging
Author(s): Inkyu Moon
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Paper Abstract

In this paper, a statistical approach for three-dimensional (3D) visualization and recognition of photon-starved events based on a parametric estimator is overviewed. A truncated Poisson probability density function is considered for modeling the distribution of a few photons count observation. For 3D visualization and recognition of photon-starved events, an integral imaging, maximum likelihood estimator (MLE) and statistical inference algorithms are employed. It is shown in experiments that the parametric MLE using a truncated Poisson model for estimating the average number of photons for each voxel of a 3D object has a small estimation error compared with the MLE using a Poisson model and 3D recognition performance for photon-starved events can be enhanced by using the presented method.

Paper Details

Date Published: 14 May 2010
PDF: 6 pages
Proc. SPIE 7690, Three-Dimensional Imaging, Visualization, and Display 2010 and Display Technologies and Applications for Defense, Security, and Avionics IV, 76900N (14 May 2010); doi: 10.1117/12.849516
Show Author Affiliations
Inkyu Moon, Chosun Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 7690:
Three-Dimensional Imaging, Visualization, and Display 2010 and Display Technologies and Applications for Defense, Security, and Avionics IV
Bahram Javidi; John Tudor Thomas; Jung-Young Son; Daniel D. Desjardins, Editor(s)

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