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Proceedings Paper

3D sensing and visualization of occluded objects
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Paper Abstract

In this paper, we present a system to reconstruct a free view of a partially occluded object by using computational integral imaging. The system is analyzed to sense information of off-center views from a elemental images set. To obtain unobstructed images with high resolution, low focus error, and large depth of focus, synthetic aperture integral imaging utilizing a digital camera has been adopted. Two novel algorithms are proposed: 1) an algorithm for reconstructing volumetric perspective images and 2) an algorithm for scaling reconstruction images at arbitrary distances.

Paper Details

Date Published: 30 August 2006
PDF: 5 pages
Proc. SPIE 6311, Optical Information Systems IV, 631107 (30 August 2006); doi: 10.1117/12.707428
Show Author Affiliations
Yong Seok Hwang, Univ. of Connecticut (United States)
Seung-Hyun Hong, Univ. of Connecticut (United States)
Bahram Javidi, Univ. of Connecticut (United States)

Published in SPIE Proceedings Vol. 6311:
Optical Information Systems IV
Bahram Javidi; Demetri Psaltis; H. John Caulfield, Editor(s)

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