Robust Camera Translation Estimation via Rank Enforcement
文献类型：期刊论文
| 作者 | Dong, Qiulei2,3,4 ; Gao, Xiang1; Cui, Hainan4; Hu, Zhanyi2,3,4
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| 刊名 | IEEE TRANSACTIONS ON CYBERNETICS
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| 出版日期 | 2022-02-01 |
| 卷号 | 52期号:2页码:862-872 |
| 关键词 | Camera location camera translation estimation structure from motion |
| ISSN号 | 2168-2267 |
| DOI | 10.1109/TCYB.2020.2988679 |
| 通讯作者 | Dong, Qiulei(qldong@nlpr.ia.ac.cn) |
| 英文摘要 | Camera translation averaging, aiming to recover the global camera locations from a given set of camera translation directions, is a challenging problem for Structure from Motion (SfM) in the field of computer vision, largely due to the fact that the given relative translation directions from a set of noisy essential matrices are generally of low accuracy. To tackle this problem, we first reveal a novel but a simple property of the camera translation matrix consisting of all the pairwise camera translations among an arbitrary set of cameras that the rank of this translation matrix is always smaller or equal to 4. Then, by explicitly enforcing this rank property, a novel translation estimation method for computing global camera locations is proposed, called TERE. Moreover, to further improve the performances of the explored TERE in the two aspects of accuracy and speed, an iterative batch-based translation estimation method is proposed, called B-TERE, where a small-scale batch of cameras is selected without replacement from the given set of cameras according to a simple camera selection strategy at each iterative step, and the locations of the selected cameras are estimated by the proposed TERE accordingly. Extensive experimental results on various datasets demonstrate that our proposed methods could achieve better performances in comparison to several state-of-the-art methods. |
| WOS关键词 | MOTION |
| 资助项目 | National Natural Science Foundation of China[U1805264] ; National Natural Science Foundation of China[61991423] ; National Natural Science Foundation of China[61573359] ; National Natural Science Foundation of China[61421004] |
| WOS研究方向 | Automation & Control Systems ; Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000756813500016 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.ia.ac.cn/handle/173211/47933]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_机器人视觉团队 中科院工业视觉智能装备工程实验室 |
| 通讯作者 | Dong, Qiulei |
| 作者单位 | 1.Ocean Univ China, Coll Engn, Qingdao 266100, Peoples R China 2.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Dong, Qiulei,Gao, Xiang,Cui, Hainan,et al. Robust Camera Translation Estimation via Rank Enforcement[J]. IEEE TRANSACTIONS ON CYBERNETICS,2022,52(2):862-872. |
| APA | Dong, Qiulei,Gao, Xiang,Cui, Hainan,&Hu, Zhanyi.(2022).Robust Camera Translation Estimation via Rank Enforcement.IEEE TRANSACTIONS ON CYBERNETICS,52(2),862-872. |
| MLA | Dong, Qiulei,et al."Robust Camera Translation Estimation via Rank Enforcement".IEEE TRANSACTIONS ON CYBERNETICS 52.2(2022):862-872. |
入库方式： OAI收割
来源：自动化研究所
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