Industrial Binocular Vision System Calibration With Unknown Imaging Model
文献类型：期刊论文
| 作者 | Gong, Xurong6,7 ; Liu, Xilong2,3,7; Cao, Zhiqiang6,7; Ma, Liping2,3,7; Yang, Yuequan1,4; Yu, Junzhi5
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| 刊名 | IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
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| 出版日期 | 2024-02-14 |
| 页码 | 10 |
| 关键词 | Binocular camera calibration three-plane solution unknown imaging model |
| ISSN号 | 1551-3203 |
| DOI | 10.1109/TII.2023.3326506 |
| 通讯作者 | Liu, Xilong(xilong.liu@ia.ac.cn) |
| 英文摘要 | The high precision measurement of binocular camera depends on the calibration accuracy. Mainstream methods focus on the calibration of intrinsic parameters and the pose relationship of two cameras in sequence. However, the transmission of error will decrease the calibration quality. It is still challenging especially in the case of an unknown imaging model due to the intervention of baffle and multimedia refraction. In this article, a general calibration method for a binocular vision system with an unknown imaging model is proposed. Based on the one-to-one mapping between 4-D image coordinates and 3-D Cartesian coordinates of spatial points, the intersection line of two calibration planes is extracted. All calibration planes are organized in the form of a three-plane group, and in each group, the poses are solved by the intersection lines. These poses are further optimized to acquire accurate 3-D coordinates of points in calibration planes. Combined with the correspondences of image pixels and points in a calibration plane, the line-plane intersection point between the projection line and this plane is calculated. Finally, projection lines are fitted based on corresponding line-plane intersection points. By modeling the relationship between image pixels and object-end projection lines, the uncertainty of the imaging model is solved. The proposed method is universal and stable for different imaging models including refraction, and the results of simulation and experiment show its effectiveness. |
| WOS关键词 | CAMERA |
| 资助项目 | Beijing Natural Science Foundation |
| WOS研究方向 | Automation & Control Systems ; Computer Science ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:001175883200001 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | Beijing Natural Science Foundation |
| 源URL | [http://ir.ia.ac.cn/handle/173211/56945]  |
| 专题 | 中科院工业视觉智能装备工程实验室 多模态人工智能系统全国重点实验室 |
| 通讯作者 | Liu, Xilong |
| 作者单位 | 1.Yangzhou Univ, Coll Informat Engn, Yangzhou 225127, Peoples R China 2.Chinese Acad Sci, Inst Automat, CAS Engn Lab Intelligent Ind Vis, Beijing 100190, Peoples R China 3.Binzhou Inst Technol, Weiqiao-UCAS Sci & Technol Pk, Binzhou 256606, Peoples R China 4.Yangzhou Univ, Coll Artificial Intelligence, Yangzhou 225127, Peoples R China 5.Peking Univ, Coll Engn, Dept Adv Mfg & Robot, BIC ESAT, Beijing 100871, Peoples R China 6.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China 7.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Gong, Xurong,Liu, Xilong,Cao, Zhiqiang,et al. Industrial Binocular Vision System Calibration With Unknown Imaging Model[J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,2024:10. |
| APA | Gong, Xurong,Liu, Xilong,Cao, Zhiqiang,Ma, Liping,Yang, Yuequan,&Yu, Junzhi.(2024).Industrial Binocular Vision System Calibration With Unknown Imaging Model.IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS,10. |
| MLA | Gong, Xurong,et al."Industrial Binocular Vision System Calibration With Unknown Imaging Model".IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2024):10. |
入库方式： OAI收割
来源：自动化研究所
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