Stitching contaminated images
Li, Chuan1; Liu, Zhi-Yong1,2,3; Yang, Xu1; Qiao, Hong1,2,3; Su, Jian-Hua1; Zhi-Yong Liu
2016-11-19
发表期刊NEUROCOMPUTING
卷号214期号:no页码:829-836
文章类型Article
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.
关键词Image Stitching Denoising Energy Minimization Gnccp
WOS标题词Science & Technology ; Technology
DOI10.1016/j.neucom.2016.07.004
关键词[WOS]GRAPH CUTS ; FEATURES
收录类别SCI
语种英语
项目资助者National Foundation of Science of China (NFSC)(61375005 ; Ministry of Science and Technology of China (MOST)(2015BAK35B00 ; Department of Science and Technology of Guangdong(2016B090910001) ; 61033011) ; 2015BAK35B01)
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000386741300078
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/12600
专题复杂系统管理与控制国家重点实验室_机器人理论与应用
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.
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