A Novel Camera Calibration Pattern Robust to Incomplete Pattern Projection | |
Gao, Zhang1,2; Zhu, Mingzhu3; Yu, Junzhi2,3 | |
刊名 | IEEE SENSORS JOURNAL |
2021-04-15 | |
卷号 | 21期号:8页码:10051-10060 |
关键词 | camera calibration incomplete sample overlapping field of view calibration pattern |
ISSN号 | 1530-437X |
DOI | 10.1109/JSEN.2021.3058747 |
文献子类 | Article |
英文摘要 | When calibrating multi-camera systems with existing camera calibration toolboxes, it is oftentimes required that calibration boards are fully captured by all cameras to establish correspondence of X-junctions automatically. It becomes impractical when different cameras share limited common field of views, resulting in the incomplete samples of the calibration board. This article proposes a practical solution containing a modified checkerboard pattern and image processing algorithms. Corresponding world and image points for calibration algorithms are provided by the proposed solution when calibration boards are partially captured. X-junctions are categorized in two types and recognized in a group as an identification unit. The proposed pattern is arranged to ensure uniqueness of each identification unit; thus X-junctions can be positioned by supporting algorithms and correspondences are founded. No burden is introduced in sampling compared to traditional calibration methods. Experimental results of calibrating a multi-camera system verify that the use of the partially captured images brings benefits to calibration accuracy. Furthermore, the proposed method can substantially facilitate the calibration process. |
URL标识 | 查看原文 |
WOS研究方向 | Engineering ; Instruments & Instrumentation ; Physics |
语种 | 英语 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
WOS记录号 | WOS:000648573500049 |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/44565] |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
通讯作者 | Yu, Junzhi |
作者单位 | 1.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China 2.State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China 3.State Key Laboratory for Turbulence and Complex Systems, Department of Mechanics and Engineering Science, BIC-ESAT, College of Engineering, Peking University, Beijing 100871, China |
推荐引用方式 GB/T 7714 | Gao, Zhang,Zhu, Mingzhu,Yu, Junzhi. A Novel Camera Calibration Pattern Robust to Incomplete Pattern Projection[J]. IEEE SENSORS JOURNAL,2021,21(8):10051-10060. |
APA | Gao, Zhang,Zhu, Mingzhu,&Yu, Junzhi.(2021).A Novel Camera Calibration Pattern Robust to Incomplete Pattern Projection.IEEE SENSORS JOURNAL,21(8),10051-10060. |
MLA | Gao, Zhang,et al."A Novel Camera Calibration Pattern Robust to Incomplete Pattern Projection".IEEE SENSORS JOURNAL 21.8(2021):10051-10060. |
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