Stitching contaminated images
Li, Chuan1; Liu, Zhi-Yong1,2,3; Yang, Xu1; Qiao, Hong1,2,3; Su, Jian-Hua1; Zhi-Yong Liu
Source PublicationNEUROCOMPUTING
2016-11-19
Volume214Issue:noPages:829-836
SubtypeArticle
Abstract
; 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.
KeywordImage Stitching Denoising Energy Minimization Gnccp
WOS HeadingsScience & Technology ; Technology
DOI10.1016/j.neucom.2016.07.004
WOS KeywordGRAPH CUTS ; FEATURES
Indexed BySCI
Language英语
Funding OrganizationNational 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 Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000386741300078
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12600
Collection复杂系统管理与控制国家重点实验室_机器人理论与应用
Corresponding AuthorZhi-Yong Liu
Affiliation1.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
First Author AffilicationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Recommended Citation
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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