Partial correspondence based on subgraph matching
文献类型:期刊论文
作者 | Yang, Xu![]() ![]() ![]() ![]() |
刊名 | NEUROCOMPUTING
![]() |
出版日期 | 2013-12-25 |
期号 | 122页码:193-197 |
关键词 | Feature correspondence Structural model Subgraph matching GNCGCP |
通讯作者 | Zhi-Yong Liu |
英文摘要 | Exploiting both appearance similarity and geometric consistency is popular in addressing the feature correspondence problem. However, when there exist outliers the performance generally deteriorates greatly. In this paper, we propose a novel partial correspondence method to tackle the problem with outliers. Specifically, a novel pairwise term together with a neighborhood system is proposed, which, together with the other two pairwise terms and a unary term, formulates the correspondence to be solved as a subgraph matching problem. The problem is then approximated by the recently proposed Graduated Non-Convexity and Graduated Concavity Procedure (GNCGCP). The proposed algorithm obtains a state-of-the-art accuracy in the existence of outliers while keeping O(N-3) computational complexity and O(N-2) storage complexity. Simulations on both the synthetic and real-world images witness the effectiveness of the proposed method. (C) 2013 Elsevier B.V. All rights reserved. |
WOS标题词 | Science & Technology ; Technology |
类目[WOS] | Computer Science, Artificial Intelligence |
研究领域[WOS] | Computer Science |
关键词[WOS] | GRAPH ; RECOGNITION |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000325590200021 |
源URL | [http://ir.ia.ac.cn/handle/173211/3040] ![]() |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_机器人应用与理论组 |
通讯作者 | Zhi-Yong Liu |
作者单位 | Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Yang, Xu,Qiao, Hong,Liu, Zhi-Yong,et al. Partial correspondence based on subgraph matching[J]. NEUROCOMPUTING,2013(122):193-197. |
APA | Yang, Xu,Qiao, Hong,Liu, Zhi-Yong,&Zhi-Yong Liu.(2013).Partial correspondence based on subgraph matching.NEUROCOMPUTING(122),193-197. |
MLA | Yang, Xu,et al."Partial correspondence based on subgraph matching".NEUROCOMPUTING .122(2013):193-197. |
入库方式: OAI收割
来源:自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。