中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Stitching contaminated images

文献类型:期刊论文

作者Li, Chuan1; Liu, Zhi-Yong1,2,3; Yang, Xu1; Qiao, Hong1,2,3; Su, Jian-Hua1; Zhi-Yong Liu
刊名NEUROCOMPUTING
出版日期2016-11-19
卷号214期号:no页码:829-836
关键词Image stitching Denoising Energy minimization GNCCP
通讯作者Zhi-Yong Liu
中文摘要
英文摘要Image stitching has long been studied in computer vision and has been applied to many fields. However, when the input images contain moving objects and meanwhile are noisy or partially contaminated, it remains a challenge to get a satisfactory clean panorama. In this paper, we propose to tackle both the challenges, i.e., denoising and stitching, by proposing a new energy function in a unified way. Such an energy model is however non-submodule, making the widely used optimization algorithms, such as graph cuts, hard to be used directly. We then generalize the recently proposed Graduated Non-Convexity and Concavity Procedure (GNCCP) to approximately minimize the energy. Comparative experiments validate the efficacy of the proposed energy function on both image denoising and stitching. Besides, the results also show the validity of the generalized-GNCCP on minimizing non-submodule function. (C) 2016 Elsevier B.V. All rights reserved.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence
研究领域[WOS]Computer Science
关键词[WOS]GRAPH CUTS ; FEATURES
收录类别SCI
语种英语
WOS记录号WOS:000386741300078
源URL[http://ir.ia.ac.cn/handle/173211/12600]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_机器人应用与理论组
通讯作者Zhi-Yong Liu
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.CAS Ctr Excellence Brain Sci & Intelligence Techn, Shanghai 200031, Peoples R China
3.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Li, Chuan,Liu, Zhi-Yong,Yang, Xu,et al. Stitching contaminated images[J]. NEUROCOMPUTING,2016,214(no):829-836.
APA Li, Chuan,Liu, Zhi-Yong,Yang, Xu,Qiao, Hong,Su, Jian-Hua,&Zhi-Yong Liu.(2016).Stitching contaminated images.NEUROCOMPUTING,214(no),829-836.
MLA Li, Chuan,et al."Stitching contaminated images".NEUROCOMPUTING 214.no(2016):829-836.

入库方式: OAI收割

来源:自动化研究所

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