Outlier robust point correspondence based on GNCCP
Yang, Xu; Qiao, Hong; Liu, Zhi-Yong; Zhi-Yong Liu
Source PublicationPATTERN RECOGNITION LETTERS
2015-04-01
Issue55Pages:8-14
SubtypeArticle
AbstractGraph matching is a fundamental problem in pattern recognition and computer vision. In this paper we introduce a novel graph matching algorithm to find the specified number of best vertex assignments between two labeled weighted graphs. The problem is first explicitly formulated as the minimization of a quadratic objective function and then solved by an optimization algorithm based on the recently proposed graduated nonconvexity and concavity procedure (GNCCP). Simulations on both synthetic data and real world images witness the effectiveness of the proposed method. (C) 2015 Elsevier B.V. All rights reserved
KeywordFeature Correspondence Graph Matching Gnccp
WOS HeadingsScience & Technology ; Technology
WOS KeywordPATTERN-RECOGNITION ; GRAPHS
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000351015900002
Citation statistics
Cited Times:9[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/8099
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
AffiliationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Yang, Xu,Qiao, Hong,Liu, Zhi-Yong,et al. Outlier robust point correspondence based on GNCCP[J]. PATTERN RECOGNITION LETTERS,2015(55):8-14.
APA Yang, Xu,Qiao, Hong,Liu, Zhi-Yong,&Zhi-Yong Liu.(2015).Outlier robust point correspondence based on GNCCP.PATTERN RECOGNITION LETTERS(55),8-14.
MLA Yang, Xu,et al."Outlier robust point correspondence based on GNCCP".PATTERN RECOGNITION LETTERS .55(2015):8-14.
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