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Proceedings Paper

3D integral imaging with unknown sensor positions
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Paper Abstract

Integral imaging is a 3D sensing and imaging technique. Conventional 3D integral imaging systems require that all the sensor positions in the image capture stage are known. But in certain image pick up geometries, it may be difficult to obtain accurate measurement of sensor positions such as sensors on moving platforms and/or randomly distributed sensors. In this paper, we present a 3D integral imaging method with unknown sensor positions. In the proposed method, all the sensors are randomly distributed on a plane with parallel optical axes. More, only the relative position of any two sensors is needed whereas all other sensor positions are unknown. We combine image correspondences extraction, camera perspective model, two view geometry and computational integral imaging 3D reconstruction techniques to estimate the unknown sensor positions and reconstruct 3D images. The experiment results executed both in lab and outside show the feasibility of the proposed method in 3D integral imaging. Furthermore, the experiments indicate that the quality of reconstructed images by using the proposed sensor position estimation algorithm can be improved compared to the ones by using the physical measurements of the sensor positions.

Paper Details

Date Published: 19 May 2011
PDF: 9 pages
Proc. SPIE 8043, Three-Dimensional Imaging, Visualization, and Display 2011, 804309 (19 May 2011); doi: 10.1117/12.884283
Show Author Affiliations
Xiao Xiao, Univ. of Connecticut (United States)
Mehdi Daneshpanah, Univ. of Connecticut (United States)
Myungjin Cho, Univ. of Connecticut (United States)
Bahram Javidi, Univ. of Connecticut (United States)

Published in SPIE Proceedings Vol. 8043:
Three-Dimensional Imaging, Visualization, and Display 2011
Bahram Javidi; Jung-Young Son, Editor(s)

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