Point correspondence by a new third order graph matching algorithm
Yang, Xu1; Qiao, Hong1,2,3; Liu, Zhi-Yong1,2,3
Source PublicationPATTERN RECOGNITION
2017-05-01
Volume65Issue:0Pages:108-118
SubtypeArticle
AbstractThe correspondence between point sets is a fundamental problem in pattern recognition, which is often formulated and solved by graph matching. In this paper, we propose to solve the correspondence problem by a new third order graph matching algorithm. Compared with some previous hyper-graph matching algorithms, the proposed one achieves considerable memory reduction and is applicable to both undirected and directed graphs. Specifically, the correspondence is formulated by the matching between adjacency tensors encoding the third order structural information of each graph, which is then transformed to be a tractable matrix form. Two types of gradient based optimization methods, the graduated nonconvexity and concavity procedure (GNCCP) and graduated assignment (GA) algorithm, are generalized to solve the problem. Comparative experiments with state-of-the-art algorithms on both synthetic and real data witness the effectiveness of the proposed method.
KeywordGraph Matching Point Correspondence High Order Constraints Adjacency Tensor
WOS HeadingsScience & Technology ; Technology
DOI10.1016/j.patcog.2016.12.006
WOS KeywordRECOGNITION ; COMPUTATION
Indexed BySCI
Language英语
Funding OrganizationNational Key Research and Development Plan of China(2016YFC0300801) ; National Natural Science Foundation (NSFC) of China(61503383 ; Strategic Priority Research Program of the Chinese Academy of Sciences(XDB02080003) ; 61633009 ; 61375005 ; U1613213 ; 61303174 ; 61210009 ; 61305137)
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000394197700010
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Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/14134
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
Affiliation1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Shanghai 200031, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
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GB/T 7714
Yang, Xu,Qiao, Hong,Liu, Zhi-Yong. Point correspondence by a new third order graph matching algorithm[J]. PATTERN RECOGNITION,2017,65(0):108-118.
APA Yang, Xu,Qiao, Hong,&Liu, Zhi-Yong.(2017).Point correspondence by a new third order graph matching algorithm.PATTERN RECOGNITION,65(0),108-118.
MLA Yang, Xu,et al."Point correspondence by a new third order graph matching algorithm".PATTERN RECOGNITION 65.0(2017):108-118.
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