中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Novel Camera Calibration Pattern Robust to Incomplete Pattern Projection

文献类型:期刊论文

作者Gao, Zhang2,3; Zhu, Mingzhu1; Yu, Junzhi1,2
刊名IEEE SENSORS JOURNAL
出版日期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
DOI10.1109/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.

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WOS研究方向Engineering ; Instruments & Instrumentation ; Physics
语种英语
WOS记录号WOS:000648573500049
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
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.State Key Laboratory for Turbulence and Complex Systems, Department of Mechanics and Engineering Science, BIC-ESAT, College of Engineering, Peking University, Beijing 100871, China
2.State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
3.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, 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.

入库方式: OAI收割

来源:自动化研究所

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