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IRAv3+: Hierarchical Incremental Rotation Averaging via Multiple Connected Dominating Sets

文献类型：期刊论文

作者Gao, Xiang3,4,5; Cui, Hainan3,4,5; Huang, Wantao2; Li, Menghan1; Shen, Shuhan3,4,5
刊名IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
出版日期2024-04-01
卷号34期号:4页码:3049-3055
关键词Global structure from motion large-scale rotation averaging multiple connected dominating sets
ISSN号1051-8215
DOI10.1109/TCSVT.2023.3309661
通讯作者Shen, Shuhan(shshen@nlpr.ia.ac.cn)
英文摘要Focusing on the difficulty of absolute rotation globalization of large-scale rotation averaging problem, a novel hierarchical pipeline, termed as IRAv3+, based on multiple Connected Dominating Sets (CDSs) is proposed in this paper. Specifically, the proposed method not only obtains the graph clusters for local rotation averaging like other cluster-based methods, but also generate a subset via connected dominating set extraction, which is served as a reference for rotation globalization. To facilitate the rotation globalization, two key techniques are proposed: 1) to provide a more reliable global reference, instead of a single CDS, multiple CDSs are randomly selected and united; 2) to give a more accurate local-to-global alignment estimation, instead of using the relative rotation measurements of the sharing edges between local clusters and global reference, the absolute rotations of common vertices between them are involved. Experiments on the 1DSfM dataset demonstrate the effectiveness of the proposed IRAv3+ and its advantages over the existing cluster-based rotation averaging methods and other state of the arts.
WOS关键词ALGORITHMS ; EFFICIENT
资助项目Strategic Priority Research Program of the Chinese Academy of Sciences
WOS研究方向Engineering
语种英语
WOS记录号WOS:001197960500025
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences
源URL[http://ir.ia.ac.cn/handle/173211/57059]  
专题精密感知与控制研究中心_精密感知与控制
通讯作者Shen, Shuhan
作者单位1.Ocean Univ China, Coll Engn, Qingdao 266100, Peoples R China
2.Kaili Univ, Coll Sci, Kaili 556000, Peoples R China
3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
4.Chinese Acad Sci CASIA, Inst Automat, Beijing 100190, Peoples R China
5.CASIA, SenseTime Res Grp, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Gao, Xiang,Cui, Hainan,Huang, Wantao,et al. IRAv3+: Hierarchical Incremental Rotation Averaging via Multiple Connected Dominating Sets[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2024,34(4):3049-3055.
APA Gao, Xiang,Cui, Hainan,Huang, Wantao,Li, Menghan,&Shen, Shuhan.(2024).IRAv3+: Hierarchical Incremental Rotation Averaging via Multiple Connected Dominating Sets.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,34(4),3049-3055.
MLA Gao, Xiang,et al."IRAv3+: Hierarchical Incremental Rotation Averaging via Multiple Connected Dominating Sets".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 34.4(2024):3049-3055.

入库方式： OAI收割

来源：自动化研究所

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