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30 August 2006 3D sensing and visualization of occluded objects
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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.
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Yong Seok Hwang, Seung-Hyun Hong, and Bahram Javidi "3D sensing and visualization of occluded objects", Proc. SPIE 6311, Optical Information Systems IV, 631107 (30 August 2006); https://doi.org/10.1117/12.707428
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