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| Occlusion-Model Guided Antiocclusion Depth Estimation in Light Field | |
| 2017-10 | |
| Source Publication | IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING
 |
| ISSN | 1932-4553 |
| Volume | 11Issue:7Pages:965-978 |
| Status | 已发表 |
| DOI | 10.1109/JSTSP.2017.2730818 |
| Abstract | Occlusion is one of the most challenging problems in depth estimation. Previous work has modeled the single-occluder occlusion in light field and achieves good performances, however it is still difficult to obtain accurate depth for multioccluder occlusion. In this paper, we explore the complete occlusionmodel in light field and derive the occluder-consistency between the spatial and angular spaces, which is used as a guidance to select unoccluded views for each candidate occlusion point. Then, an antiocclusion energy function is built to regularize the depth map. Experimental results on both synthetic and real light-field datasets have demonstrated the advantages of the proposed algorithm compared with state-of-the-art algorithms of light-field depth estimation, especially in multioccluder cases. |
| Keyword | Anti-occlusion depth estimation light field occlusion model |
| URL | 查看原文 |
| Indexed By | SCI ; EI |
| Language | 英语 |
| Funding Project | National Natural Science Foundation of China[61531014] ; National Natural Science Foundation of China[61401359] ; National Natural Science Foundation of China[61272287] |
| WOS Research Area | Engineering |
| WOS Subject | Engineering, Electrical & Electronic |
| WOS ID | WOS:000413944400004 |
| Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| EI Accession Number | 20173704144419 |
| EI Keywords | Analytical models ; Cameras ; Electrical engineering ; Estimation ; Lenses ; Microoptics ; Wire |
| WOS Keyword | ENERGY MINIMIZATION ; SALIENCY |
| Original Document Type | Article |
| Source Data | IEEE |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/10043 |
| Collection | 信息科学与技术学院_PI研究组_虞晶怡组 |
| Affiliation | 1.School of Computer Science, Northwestern Polytechnical University, Xi’an, China 2.ShanghaiTech University, Shanghai, China |
| Recommended Citation GB/T 7714 | Hao Zhu,Qing Wang,Jingyi Yu. Occlusion-Model Guided Antiocclusion Depth Estimation in Light Field[J]. IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING,2017,11(7):965-978. |
| APA | Hao Zhu,Qing Wang,&Jingyi Yu.(2017).Occlusion-Model Guided Antiocclusion Depth Estimation in Light Field.IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING,11(7),965-978. |
| MLA | Hao Zhu,et al."Occlusion-Model Guided Antiocclusion Depth Estimation in Light Field".IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING 11.7(2017):965-978. |
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