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Proceedings Paper

An efficient anti-occlusion depth estimation using generalized EPI representation in light field
Author(s): Hao Zhu; Qing Wang
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Paper Abstract

Light field cameras have been rapidly developed and are likely to appear in mobile devices in near future. It is essential to develop efficient and robust depth estimation algorithm for mobile applications. However, existing methods are either slow or lack of adaptability to occlusion such that they are not suitable to mobile computing platform. In this paper, we present the generalized EPI representation in light field and formulate it using two linear functions. By combining it with the light field occlusion theory, a highly efficient and anti-occlusion depth estimation algorithm is proposed. Our algorithm outperforms the previous local method, especially in occlusion areas. Experimental results on public light field datasets have demonstrated the effectiveness and efficiency of the proposed algorithm.

Paper Details

Date Published: 31 October 2016
PDF: 9 pages
Proc. SPIE 10020, Optoelectronic Imaging and Multimedia Technology IV, 1002008 (31 October 2016); doi: 10.1117/12.2246086
Show Author Affiliations
Hao Zhu, Northwestern Polytechnical Univ. (China)
Qing Wang, Northwestern Polytechnical Univ. (China)

Published in SPIE Proceedings Vol. 10020:
Optoelectronic Imaging and Multimedia Technology IV
Qionghai Dai; Tsutomu Shimura, Editor(s)

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