OPT OpenIR  > 光学影像学习与分析中心
Patch Alignment Manifold Matting
Li, Xuelong1; Liu, Kang1; Dong, Yongsheng1,2; Tao, Dacheng3,4; Dong, YS (reprint author), Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China.
Department光学影像学习与分析中心
2018-07
Source PublicationIEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
ISSN2162-237X
Volume29Issue:7Pages:3214-3226
Contribution Rank1
Abstract

Image matting is generally modeled as a space transform from the color space to the alpha space. By estimating the alpha factor of the model, the foreground of an image can be extracted. However, there is some dimensional information redundancy in the alpha space. It usually leads to the misjudgments of some pixels near the boundary between the foreground and the background. In this paper, a manifold matting framework named Patch Alignment Manifold Matting is proposed for image matting. In particular, we first propose a part modeling of color space in the local image patch. We then perform whole alignment optimization for approximating the alpha results using subspace reconstructing error. Furthermore, we utilize Nesterov's algorithm to solve the optimization problem. Finally, we apply some manifold learning methods in the framework, and obtain several image matting methods, such as named ISOMAP matting and its derived Cascade ISOMAP matting. The experimental results reveal that the manifold matting framework and its two examples are effective when compared with several representative matting methods.

KeywordDimension Reduction Image Matting Isomap Matting Manifold Learning Patch Alignment
Subject AreaComputer Science, Artificial Intelligence
DOI10.1109/TNNLS.2017.2727140
Indexed BySCI ; EI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS IDWOS:000436420400044
EI Accession Number20173704154810
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.opt.ac.cn/handle/181661/30416
Collection光学影像学习与分析中心
Corresponding AuthorDong, YS (reprint author), Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China.
Affiliation1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China
2.Henan Univ Sci & Technol, Sch Informat Engn, Luoyang 471023, Henan, Peoples R China
3.Univ Sydney, Fac Engn & Informat Technol, UBTECH Sydney Artificial Intelligence Inst, J12, Darlington, NSW 2008, Australia
4.Univ Sydney, Fac Engn & Informat Technol, Sch Informat Technol, J12, Darlington, NSW 2008, Australia
Recommended Citation
GB/T 7714
Li, Xuelong,Liu, Kang,Dong, Yongsheng,et al. Patch Alignment Manifold Matting[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2018,29(7):3214-3226.
APA Li, Xuelong,Liu, Kang,Dong, Yongsheng,Tao, Dacheng,&Dong, YS .(2018).Patch Alignment Manifold Matting.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,29(7),3214-3226.
MLA Li, Xuelong,et al."Patch Alignment Manifold Matting".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 29.7(2018):3214-3226.
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