Industrial Binocular Vision System Calibration With Unknown Imaging Model

doi:10.1109/TII.2023.3326506

	Industrial Binocular Vision System Calibration With Unknown Imaging Model
	Gong, Xurong1,2 ; Liu, Xilong2,3,4 ; Cao, Zhiqiang1,2 ; Ma, Liping2,3,4 ; Yang, Yuequan 5,6; Yu, Junzhi7
发表期刊	IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
ISSN	1551-3203
	2024-02-14
页码	10
通讯作者	Liu, Xilong(xilong.liu@ia.ac.cn)
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.
关键词	Binocular camera calibration three-plane solution unknown imaging model
DOI	10.1109/TII.2023.3326506
关键词[WOS]	CAMERA
收录类别	SCI
语种	英语
资助项目	Beijing Natural Science Foundation
项目资助者	Beijing Natural Science Foundation
WOS研究方向	Automation & Control Systems ; Computer Science ; Engineering
WOS类目	Automation & Control Systems ; Computer Science, Interdisciplinary Applications ; Engineering, Industrial
WOS记录号	WOS:001175883200001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/56946
专题	中国科学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.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Automat, CAS Engn Lab Intelligent Ind Vis, Beijing 100190, Peoples R China 4.Binzhou Inst Technol, Weiqiao-UCAS Sci & Technol Pk, Binzhou 256606, Peoples R China 5.Yangzhou Univ, Coll Informat Engn, Yangzhou 225127, Peoples R China 6.Yangzhou Univ, Coll Artificial Intelligence, Yangzhou 225127, Peoples R China 7.Peking Univ, Coll Engn, Dept Adv Mfg & Robot, BIC ESAT, Beijing 100871, Peoples R China
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
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.