Paper
31 October 2016 An efficient anti-occlusion depth estimation using generalized EPI representation in light field
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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.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hao Zhu and Qing Wang "An efficient anti-occlusion depth estimation using generalized EPI representation in light field", Proc. SPIE 10020, Optoelectronic Imaging and Multimedia Technology IV, 1002008 (31 October 2016); https://doi.org/10.1117/12.2246086
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Cited by 2 patents.
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KEYWORDS
Cameras

Algorithm development

Microlens array

Reliability

Fourier transforms

Mobile devices

Algorithms

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