Multiple-Layer Visibility Propagation-Based Synthetic Aperture Imaging through Occlusion
| Author(s) | Yang, Tao | |
| Author(s) | Li, Jing | |
| Author(s) | Yu, Jingyi | |
| Author(s) | Zhang, Yanning | |
| Author(s) | Ma, Wenguang | |
| Author(s) | Tong, Xiaomin | |
| Author(s) | Yu, Rui | |
| Author(s) | Ran, Lingyan | |
| Ordered Author | Tao Yang, Jing Li, Jingyi Yu, Yanning Zhang, Wenguang Ma, Xiaomin Tong, Rui Yu and Lingyan Ran | |
| UD Author | Yu, Jingyi | en_US |
| UD Author | Ma, Wenguang | en_US |
| Date Accessioned | 2016-03-11T16:28:10Z | |
| Date Available | 2016-03-11T16:28:10Z | |
| Copyright Date | Copyright © 2015 by the authors; licensee MDPI, Basel, Switzerland. | en_US |
| Publication Date | 2015-08-04 | |
| Description | Publisher's PDF | en_US |
| Abstract | 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. | en_US |
| Department | University of Delaware. Department of Computer and Information Sciences. | en_US |
| Citation | Yang, Tao, et al. "Multiple-Layer Visibility Propagation-Based Synthetic Aperture Imaging through Occlusion." Sensors 15.8 (2015): 18965-18984. | en_US |
| DOI | doi:10.3390/s150818965 | en_US |
| ISSN | 1424-8220 | en_US |
| URL | http://udspace.udel.edu/handle/19716/17499 | |
| Language | en_US | en_US |
| Publisher | MDPI AG | en_US |
| dc.rights | CC-BY 4.0 | en_US |
| dc.source | Sensors | en_US |
| dc.source.uri | http://www.mdpi.com/journal/sensors | en_US |
| Title | Multiple-Layer Visibility Propagation-Based Synthetic Aperture Imaging through Occlusion | en_US |
| Type | Article | en_US |
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