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IRAv3+: Hierarchical Incremental Rotation Averaging via Multiple Connected Dominating Sets | |
Gao, Xiang1,2,3; Cui, Hainan1,2,3; Huang, Wantao4; Li, Menghan5; Shen, Shuhan1,2,3 | |
发表期刊 | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY |
ISSN | 1051-8215 |
2024-04-01 | |
卷号 | 34期号:4页码:3049-3055 |
通讯作者 | Shen, Shuhan(shshen@nlpr.ia.ac.cn) |
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. |
关键词 | Global structure from motion large-scale rotation averaging multiple connected dominating sets |
DOI | 10.1109/TCSVT.2023.3309661 |
关键词[WOS] | ALGORITHMS ; EFFICIENT |
收录类别 | SCI |
语种 | 英语 |
资助项目 | Strategic Priority Research Program of the Chinese Academy of Sciences |
项目资助者 | Strategic Priority Research Program of the Chinese Academy of Sciences |
WOS研究方向 | Engineering |
WOS类目 | Engineering, Electrical & Electronic |
WOS记录号 | WOS:001197960500025 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/57060 |
专题 | 中国科学院工业视觉智能装备工程实验室_精密感知与控制 |
通讯作者 | Shen, Shuhan |
作者单位 | 1.Chinese Acad Sci CASIA, Inst Automat, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 3.CASIA, SenseTime Res Grp, Beijing 100190, Peoples R China 4.Kaili Univ, Coll Sci, Kaili 556000, Peoples R China 5.Ocean Univ China, Coll Engn, Qingdao 266100, Peoples R China |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
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. |
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