车载摄像机的立体标定方法

吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (增刊1): 352-356.

车载摄像机的立体标定方法

谭华春¹, 夏红卫¹, 李琴¹, 赵亚男¹, 谢湘², 陈涛³, 章毓晋⁴

1. 北京理工大学机械与车辆学院,北京100081;
2. 北京理工大学信息与电子学院,北京 100081;
3. 长安大学汽车学院,西安 710064;
4. 清华大学电子工程系北京 100084

收稿日期:2012-05-21 发布日期:2013-06-01
作者简介:谭华春(1975-),男,副教授.研究方向:图像工程,计算机视觉,智能交通系统.E-mail:tanhc@bit.edu.cn
基金资助:
国家自然科学基金项目(61171118,61271376,91120015,91120010);北京市自然科学基金项目(4122067);中央高校基本科研业务费专项资金项目(CHD2011SY010)

Three-dimensional calibration for on-board camera

TAN Hua-chun¹, XIA Hong-wei¹, LI Qin¹, ZHAO Ya-nan¹, XIE Xiang², CHEN Tao³, ZHANG Yu-jin⁴

1. School of Mechanical and Vehicular Engineering, Beijing Institute of Technology, Beijing 100081, China;
2. School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China;
3. School of Automobile, Chang'an University, Xi'an 710064, China;
4. Department of Electronic Engineering, Tsinghua University, Beijing 100084, China

Received:2012-05-21 Published:2013-06-01

摘要/Abstract

摘要：

提出了一种简便实用的基于立体标定板的车载摄像机标定方法。基于自制立体标定板对车载摄像机进行标定,方法比较便捷,精度较高,且方便车载摄像机进行后续检测等工作。实验结果及误差分析验证了该方法的可行性。

关键词: 摄像机标定, 立体标定板, 车载摄像机, 摄像机参数

Abstract:

A simple and practical method based on three-dimensional board was proposed for on-board calibration.The on-board camera was calibrated based on a three-dimensional calibration board,which was easy,high-precision,and convenient for follow-up testing and other works.The experimental results and the error analysis show the feasibility of proposed approach.

Key words: camera calibration, three-dimensional calibration board, on-board camera, camera parameters

中图分类号:

TP391

谭华春, 夏红卫, 李琴, 赵亚男, 谢湘, 陈涛, 章毓晋. 车载摄像机的立体标定方法[J]. 吉林大学学报(工学版), 2013, 43(增刊1): 352-356.

TAN Hua-chun, XIA Hong-wei, LI Qin, ZHAO Ya-nan, XIE Xiang, CHEN Tao, ZHANG Yu-jin. Three-dimensional calibration for on-board camera[J]. 吉林大学学报(工学版), 2013, 43(增刊1): 352-356.

参考文献

[1] 邱茂林,马颂德,李毅.计算机视觉中摄像机定标综述[J].自动化学报,2000,26(1):43-55. Qiu Mao-lin, Ma Song-de, Li Yi.Computer vision camera calibration summary[J].Automatica Sinica, 2000, 26 (1): 43-55.

[2] Zhang Zheng-you.A flexible camera calibration by viewing a plane from unknown orientations [J].International Conference on Computer Vision (ICCV' 99),1999(9):666-673.

[3] 李艳辉,吴玲,尚胤彤.机器人立体视觉中摄像机的标定[J].自动化技术与应用,2012,31(3):61-81. Li Yan-hui, Wu Ling,Shang Yin-tong. Robot stereo vision camera calibration[J].Automation Technology and Application, 2012,31 (3): 61-81.

[4] 薛俊鹏,苏显渝.基于两个正交一维物体的单幅图像相机标定[J].光学学报,2012,32(1):21-25. Xue Jun-peng, Su Xian-yu.Based on a single image of one-dimensional objects in two orthogonal camera calibration[J].SPIE,2012,32 (1):21-25.

[5] 马颂德,张正友.计算机视觉-计算理论与算法基础[M].北京:科学出版社,1998.

[6] 郭启军,钱新恩.线性模型下摄像机标定[J].湖北汽车工业学院学报,2008,22(1):44-47. Guo Qi-jun, Qian Xin-en.Linear model under camera calibration[J].Hubei Automotive Industry University,2008,22(1):44-47.

[7] 全厚德,闫守成,张洪才.计算机视觉中摄像机标定精度评估方法[J].测绘科学技术学报,2006,23 (3):222-224. Quan Hou-de, Yan Shou-cheng, Zhang Hong-cai.Computer vision camera calibration accuracy assessment methods[J].Geomatics Science and Technology, 2006,23 (3): 222-224.

[8] Tsai R Y.A versatile camera calibration technique for high accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses[J].IEEE J.Robotics Automat,1987, RA-3(4):323-344.

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