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Sensors 2015, 15(8), 18965-18984;

Multiple-Layer Visibility Propagation-Based Synthetic Aperture Imaging through Occlusion

ShaanXi Provincial Key Lab of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an 710129, China
School of Telecommunications Engineering, Xidian University, Xi'an 710126, China
Department of Computer and Information Science, University of Delaware, Newark, DE 19716, USA
Department of Computer Science, University College London, London, WC1E 6BT, UK
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M.N. Passaro
Received: 1 April 2015 / Revised: 1 April 2015 / Accepted: 21 July 2015 / Published: 4 August 2015
(This article belongs to the Section Physical Sensors)
Full-Text   |   PDF [3432 KB, uploaded 4 August 2015]   |  


Heavy occlusions in cluttered scenes impose significant challenges to many computer vision applications. Recent light field imaging systems provide new see-through capabilities through synthetic aperture imaging (SAI) to overcome the occlusion problem. Existing synthetic aperture imaging methods, however, emulate focusing at a specific depth layer, but are incapable of producing an all-in-focus see-through image. Alternative in-painting algorithms can generate visually-plausible results, but cannot guarantee the correctness of the results. In this paper, we present a novel depth-free all-in-focus SAI technique based on light field visibility analysis. Specifically, we partition the scene into multiple visibility layers to directly deal with layer-wise occlusion and apply an optimization framework to propagate the visibility information between multiple layers. On each layer, visibility and optimal focus depth estimation is formulated as a multiple-label energy minimization problem. The layer-wise energy integrates all of the visibility masks from its previous layers, multi-view intensity consistency and depth smoothness constraint together. We compare our method with state-of-the-art solutions, and extensive experimental results demonstrate the effectiveness and superiority of our approach. View Full-Text
Keywords: camera array; multiple-layer visibility propagation; occluded object imaging; all-in-focus synthetic aperture imaging camera array; multiple-layer visibility propagation; occluded object imaging; all-in-focus synthetic aperture imaging

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Yang, T.; Li, J.; Yu, J.; Zhang, Y.; Ma, W.; Tong, X.; Yu, R.; Ran, L. Multiple-Layer Visibility Propagation-Based Synthetic Aperture Imaging through Occlusion. Sensors 2015, 15, 18965-18984.

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