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A correspondence selection method based on same object and same position constraints

文献类型：期刊论文

作者Ma, Hongxuan1,2; Hua, Ruxiang1,2; Zou, Wei1,2; Sun, Siyang1; Huang, Daqi3
刊名MEASUREMENT & CONTROL
出版日期2023-12-12
页码12
ISSN号0020-2940
关键词Correspondence selection the same object constraint the same position constraint image processing
DOI10.1177/00202940231212952
通讯作者Zou, Wei(wei.zou@ia.ac.cn)
英文摘要Establishing robust correspondences between two images is important for computer version tasks. However, in the real scene incorrect correspondences are inevitable no matter what kind of correspondence matching algorithms are adopted due to some complex factors, such as illumination, occlusion, and so on. To reduce the number of incorrect correspondences, an algorithm with the same object and same position constraints (SOSPC), is proposed to remove wrong correspondences from the given putative correspondences in this paper. The algorithm is based on the fact that in the given image pairs correct correspondences locate at the same position on the same objects. To select the correspondences on the same objects, an object matching method based on the correspondences selected by GMS is proposed. To select the correspondences on the correct positions, an iterative fundamental matrix estimation method based on clustering is presented. The experimental results have validated the effectiveness of the same object and the same position constraints, and the method achieves the state-of-art performance on five datasets.
WOS关键词IMAGE ; FRAMEWORK ; SCALE
资助项目National Key Research ; National Natural Science Foundation of China[61973302] ; National Key Research and Development Program of China[2018YFB1306303] ; National Natural Science Foundation of China[61773374] ; National Natural Science Foundation of China[61702323] ; Major Basic Research Projects of Natural Science Foundation of Shandong Province[ZR2019ZD07]
WOS研究方向Automation & Control Systems ; Instruments & Instrumentation
语种英语
出版者SAGE PUBLICATIONS LTD
WOS记录号WOS:001126755300001
资助机构National Key Research ; National Natural Science Foundation of China ; National Key Research and Development Program of China ; National Natural Science Foundation of China ; Major Basic Research Projects of Natural Science Foundation of Shandong Province
源URL[http://ir.ia.ac.cn/handle/173211/54973]  
专题多模态人工智能系统全国重点实验室
通讯作者Zou, Wei
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Inst Artificial Intelligence, Beijing, Peoples R China
3.Beihang Univ, Sch Automat Sci & Elect Engn, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Ma, Hongxuan,Hua, Ruxiang,Zou, Wei,et al. A correspondence selection method based on same object and same position constraints[J]. MEASUREMENT & CONTROL,2023:12.
APA Ma, Hongxuan,Hua, Ruxiang,Zou, Wei,Sun, Siyang,&Huang, Daqi.(2023).A correspondence selection method based on same object and same position constraints.MEASUREMENT & CONTROL,12.
MLA Ma, Hongxuan,et al."A correspondence selection method based on same object and same position constraints".MEASUREMENT & CONTROL (2023):12.

入库方式： OAI收割

来源：自动化研究所

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