MedUCC: Medium-Driven Underwater Camera Calibration for Refractive 3-D Reconstruction | |
Gu CJ(古长军)1,2,3; Cong Y(丛杨)1,2; Sun G(孙干)1,2; Gao YJ(高亚军)1,2,3; Tang X(唐旭)1,2; Zhang T(张涛)1,2,3; Fan BJ(范保杰)4 | |
刊名 | IEEE Transactions on Systems, Man, and Cybernetics: Systems |
2021 | |
页码 | 1-12 |
关键词 | Pose estimation refractive 3-D reconstruction underwater camera calibration underwater robot underwater vision |
ISSN号 | 2168-2216 |
产权排序 | 1 |
英文摘要 | Underwater camera calibration has attracted much attentions due to its significance in high-precision three-dimensional (3-D) pose estimation and scene reconstruction. However, most existing calibration methods focus on calibrating the underwater camera in a single scenario [e.g., air-glass-water], which can not well formulate the geometry constraint and further result in the complex calibration process. Moreover, the calibration precision of these methods is low, since multilayer transparent refractions with unknown layer orientation and distance make the task more difficult than that in air. To address these challenges, we develop a novel and efficient medium-driven method for underwater camera calibration (MedUCC), which can calibrate the underwater camera parameters, including the orientation and position of the transparent glass accurately. Our key idea of this article is to leverage the light-path changes formed by medium refractions between different media to acquire calibration data, which can better formulate the geometry constraint, and estimate the initial value of the underwater camera parameters. To improve the calibration accuracy of the underwater camera system, a quaternion-based solution is developed to refine the underwater camera parameters. To the end, we evaluate the calibration performance on an underwater camera system. Extensive experiment results demonstrate that our proposed method can obtain a better performance in comparison to the existing works. We also validate our proposed MedUCC method on our designed 3-D scanner prototype, which illustrates the superiority of our proposed calibration method. |
语种 | 英语 |
资助机构 | National Nature Science Foundation of Chinaunder Grant 62127807 and Grant 62003336 |
内容类型 | 期刊论文 |
源URL | [http://ir.sia.cn/handle/173321/30250] |
专题 | 沈阳自动化研究所_机器人学研究室 |
通讯作者 | Cong Y(丛杨) |
作者单位 | 1.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China 2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 3.University of Chinese Academy of Sciences, Beijing 100049, China 4.Department of Automation College, Nanjing University of Posts and Telecommunications, Nanjing 210023, China. |
推荐引用方式 GB/T 7714 | Gu CJ,Cong Y,Sun G,et al. MedUCC: Medium-Driven Underwater Camera Calibration for Refractive 3-D Reconstruction[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems,2021:1-12. |
APA | Gu CJ.,Cong Y.,Sun G.,Gao YJ.,Tang X.,...&Fan BJ.(2021).MedUCC: Medium-Driven Underwater Camera Calibration for Refractive 3-D Reconstruction.IEEE Transactions on Systems, Man, and Cybernetics: Systems,1-12. |
MLA | Gu CJ,et al."MedUCC: Medium-Driven Underwater Camera Calibration for Refractive 3-D Reconstruction".IEEE Transactions on Systems, Man, and Cybernetics: Systems (2021):1-12. |
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