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Adaptive Graph Matching | |
Yang, Xu1; Liu, Zhi-Yong1,2,3 | |
发表期刊 | IEEE TRANSACTIONS ON CYBERNETICS |
2018-05-01 | |
卷号 | 48期号:5页码:1432-1445 |
文章类型 | Article |
摘要 | Establishing correspondence between point sets lays the foundation for many computer vision and pattern recognition tasks. It can be well defined and solved by graph matching. However, outliers may significantly deteriorate its performance, especially when outliers exist in both point sets and meanwhile the inlier number is unknown. In this paper, we propose an adaptive graph matching algorithm to tackle this problem. Specifically, a novel formulation is proposed to make the graph matching model adaptively determine the number of inliers and match them, then by relaxing the discrete domain to its convex hull the discrete optimization problem is relaxed to be a continuous one, and finally a graduated projection scheme is used to get a discrete matching solution. Consequently, the proposed algorithm could realize inlier number estimation, inlier selection, and inlier matching in one optimization framework. Experiments on both synthetic data and real world images witness the effectiveness of the proposed algorithm. |
其他摘要 | 无 |
关键词 | Graduated Projection Graph Matching Point Correspondence Regularization Method |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1109/TCYB.2017.2697968 |
关键词[WOS] | ALGORITHM ; GNCCP |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | National Natural Science Foundation of China(61503383 ; National Key Research and Development Plan of China(2016YFC0300801) ; 61633009 ; U1613213 ; 61375005 ; 61303174) |
WOS研究方向 | Automation & Control Systems ; Computer Science |
WOS类目 | Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics |
WOS记录号 | WOS:000429247700008 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/15484 |
专题 | 多模态人工智能系统全国重点实验室_机器人理论与应用 |
作者单位 | 1.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 100190, Peoples R China |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Yang, Xu,Liu, Zhi-Yong. Adaptive Graph Matching[J]. IEEE TRANSACTIONS ON CYBERNETICS,2018,48(5):1432-1445. |
APA | Yang, Xu,&Liu, Zhi-Yong.(2018).Adaptive Graph Matching.IEEE TRANSACTIONS ON CYBERNETICS,48(5),1432-1445. |
MLA | Yang, Xu,et al."Adaptive Graph Matching".IEEE TRANSACTIONS ON CYBERNETICS 48.5(2018):1432-1445. |
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