SIA OpenIR  > 机器人学研究室
Nonconvex plus quadratic penalized low-rank and sparse decomposition for noisy image alignment
Chen XA(陈希爱); Han Z(韩志); Wang Y(王尧); Tang YD(唐延东); Yu HB(于海斌)
Department机器人学研究室
Source PublicationScience China Information Sciences
ISSN1674-733X
2016
Volume59Issue:5Pages:1-13
Indexed BySCI ; EI ; CSCD
EI Accession number20161102094356
WOS IDWOS:000375885400015
CSCD IDCSCD:5712773
Contribution Rank1
Funding OrganizationNational Natural Science Foundation of China (Grant Nos. 61303168, 61333019).
KeywordLow-rank Decomposition Nonconvex Relaxation Quadratic Penalized Batch Image Alignment Sparse Or nonSparse Noise
AbstractThis paper proposes a general method for dealing with the problem of recovering the low-rank structure, in which the data can be deformed by some unknown transformations and corrupted by sparse or nonsparse noises. Nonconvex penalization method is used to remedy the drawbacks of existing convex penalization method and a quadratic penalty is further used to better tackle the nonsparse noises in the data. We exploits the local linear approximation (LLA) method for turning the resulting nonconvex penalization problem into a series of weighted convex penalization problems and these subproblems are efficiently solved via the augmented Lagrange multiplier (ALM). Besides comparing with the method of robust alignment by sparse and low-rank decomposition for linearly correlated images (RASL), we also propose a nonconvex penalized lowrank and sparse decomposition (NLSD) model as comparison. Numerical experiments are conducted on both controlled and uncontrolled data to demonstrate the outperformance of the proposed method over RASL and NLSD.
Language英语
WOS HeadingsScience & Technology ; Technology
WOS SubjectComputer Science, Information Systems
WOS KeywordVARIABLE SELECTION ; ORACLE PROPERTIES ; CONCAVE ; COMPLETION ; MATRIX ; LASSO
WOS Research AreaComputer Science
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/17735
Collection机器人学研究室
Corresponding AuthorHan Z(韩志)
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.University of Chinese Academy of Sciences, Beijing 100049, China
3.School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, 710049, China
Recommended Citation
GB/T 7714
Chen XA,Han Z,Wang Y,et al. Nonconvex plus quadratic penalized low-rank and sparse decomposition for noisy image alignment[J]. Science China Information Sciences,2016,59(5):1-13.
APA Chen XA,Han Z,Wang Y,Tang YD,&Yu HB.(2016).Nonconvex plus quadratic penalized low-rank and sparse decomposition for noisy image alignment.Science China Information Sciences,59(5),1-13.
MLA Chen XA,et al."Nonconvex plus quadratic penalized low-rank and sparse decomposition for noisy image alignment".Science China Information Sciences 59.5(2016):1-13.
Files in This Item: Download All
File Name/Size DocType Version Access License
Nonconvex plus quadr(2764KB)期刊论文作者接受稿开放获取ODC PDDLView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Chen XA(陈希爱)]'s Articles
[Han Z(韩志)]'s Articles
[Wang Y(王尧)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Chen XA(陈希爱)]'s Articles
[Han Z(韩志)]'s Articles
[Wang Y(王尧)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Chen XA(陈希爱)]'s Articles
[Han Z(韩志)]'s Articles
[Wang Y(王尧)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Nonconvex plus quadratic penalized low-rank and sparse decomposition for noisy image alignment.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.