Occlusion-Model Guided Antiocclusion Depth Estimation in Light Field
2017-10
Source PublicationIEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING
ISSN1932-4553
Volume11Issue:7Pages:965-978
Status已发表
DOI10.1109/JSTSP.2017.2730818
AbstractOcclusion 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.
KeywordAnti-occlusion depth estimation light field occlusion model
URL查看原文
Indexed BySCI ; EI
Language英语
Funding ProjectNational Natural Science Foundation of China[61531014] ; National Natural Science Foundation of China[61401359] ; National Natural Science Foundation of China[61272287]
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000413944400004
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
EI Accession Number20173704144419
EI KeywordsAnalytical models ; Cameras ; Electrical engineering ; Estimation ; Lenses ; Microoptics ; Wire
WOS KeywordENERGY MINIMIZATION ; SALIENCY
Original Document TypeArticle
Source DataIEEE
Citation statistics
Document Type期刊论文
Identifierhttps://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.
Files in This Item: Download All
File Name/Size DocType Version Access License
Related Services
Usage statistics
Scholar Google
Similar articles in Scholar Google
[Hao Zhu]'s Articles
[Qing Wang]'s Articles
[Jingyi Yu]'s Articles
Baidu academic
Similar articles in Baidu academic
[Hao Zhu]'s Articles
[Qing Wang]'s Articles
[Jingyi Yu]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Hao Zhu]'s Articles
[Qing Wang]'s Articles
[Jingyi Yu]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 10.1109@JSTSP.2017.2730818.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.