A NSGA-II-Based Calibration Algorithm for Underwater Binocular Vision Measurement System
文献类型:期刊论文
作者 | Kong, Shihan1,5; Fang, Xi4; Chen, Xingyu1,5; Wu, Zhengxing1,5; Yu, Junzhi2,3 |
刊名 | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT |
出版日期 | 2020-03-01 |
卷号 | 69期号:3页码:794-803 |
ISSN号 | 0018-9456 |
关键词 | Calibration Cameras Mathematical model Optical refraction Absorption Nonlinear optics Optical distortion Akin triangular multiobjective optimization refractive camera model underwater calibration underwater measurement |
DOI | 10.1109/TIM.2019.2906974 |
通讯作者 | Yu, Junzhi(junzhi.yu@ia.ac.cn) |
英文摘要 | In this paper, a nondominated sorting genetic algorithm (NSGA)-II-based calibration algorithm for the underwater binocular vision measurement system is proposed. The underwater measurement results will be incorrect with the binocular camera model in air. To deal with this problem, a refractive camera model and an akin triangulation are proposed to establish the nonlinear relationship with housing parameters between the object and its corresponding image plain points. A novel usage of checkerboard based on the relative position relationship of corners is employed to set three optimal goals, i.e., the distance difference, the vertical direction difference, and the parallel direction difference. The process of calibration is regarded as a multiobjective optimization and solved by NSGA-II. Finally, experimental results demonstrate the validity and effectiveness of the proposed calibration algorithm. |
资助项目 | National Natural Science Foundation of China[61725305] ; National Natural Science Foundation of China[61633004] ; National Natural Science Foundation of China[61633020] ; National Natural Science Foundation of China[61836015] ; Pre-Research Fund of Equipments of China[61403120108] ; Beijing Natural Science Foundation[4161002] |
WOS研究方向 | Engineering ; Instruments & Instrumentation |
语种 | 英语 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
WOS记录号 | WOS:000515770800015 |
资助机构 | National Natural Science Foundation of China ; Pre-Research Fund of Equipments of China ; Beijing Natural Science Foundation |
源URL | [http://ir.ia.ac.cn/handle/173211/38388] |
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.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Peking Univ, Coll Engn, BIC ESAT, State Key Lab Turbulence & Complex Syst,Dept Mech, Beijing 100871, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 4.Beihang Univ, Sch Mech Engn & Automat, Beijing 100191, Peoples R China 5.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Kong, Shihan,Fang, Xi,Chen, Xingyu,et al. A NSGA-II-Based Calibration Algorithm for Underwater Binocular Vision Measurement System[J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2020,69(3):794-803. |
APA | Kong, Shihan,Fang, Xi,Chen, Xingyu,Wu, Zhengxing,&Yu, Junzhi.(2020).A NSGA-II-Based Calibration Algorithm for Underwater Binocular Vision Measurement System.IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,69(3),794-803. |
MLA | Kong, Shihan,et al."A NSGA-II-Based Calibration Algorithm for Underwater Binocular Vision Measurement System".IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 69.3(2020):794-803. |
入库方式: OAI收割
来源:自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。