Occlusion-Model Guided Antiocclusion Depth Estimation in Light Field

doi:10.1109/JSTSP.2017.2730818

	Occlusion-Model Guided Antiocclusion Depth Estimation in Light Field
	Hao Zhu 1; Qing Wang 1; Jingyi Yu2
	2017-10
发表期刊	IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING
ISSN	1932-4553
卷号	11 期号:7 页码:965-978
发表状态	已发表
DOI	10.1109/JSTSP.2017.2730818
摘要	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.
关键词	Anti-occlusion depth estimation light field occlusion model
URL	查看原文
收录类别	SCI ; EI
语种	英语
资助项目	National Natural Science Foundation of China[61531014] ; National Natural Science Foundation of China[61401359] ; National Natural Science Foundation of China[61272287]
WOS研究方向	Engineering
WOS类目	Engineering, Electrical & Electronic
WOS记录号	WOS:000413944400004
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
EI入藏号	20173704144419
EI主题词	Analytical models ; Cameras ; Electrical engineering ; Estimation ; Lenses ; Microoptics ; Wire
WOS关键词	ENERGY MINIMIZATION ; SALIENCY
原始文献类型	Article
来源库	IEEE
引用统计
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/10043
专题	信息科学与技术学院_PI研究组_虞晶怡组
作者单位	1.School of Computer Science, Northwestern Polytechnical University, Xi’an, China 2.ShanghaiTech University, Shanghai, China
推荐引用方式 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.