自由双目立体视觉摄像机动态外参数的获取

doi:10.11772/j.issn.1001-9081.2017.10.2888

计算机应用 ›› 2017, Vol. 37 ›› Issue (10): 2888-2894.DOI: 10.11772/j.issn.1001-9081.2017.10.2888

• 计算机视觉与虚拟现实 • 上一篇下一篇

自由双目立体视觉摄像机动态外参数的获取

李肖^1,2, 葛宝臻^1,2, 罗其俊^1,2,3, 李云鹏^1,2, 田庆国^1,2

1. 天津大学精密仪器与光电子工程学院, 天津 300072;
2. 光电信息技术教育部重点实验室, 天津 300072;
3. 中国民航大学电子信息与自动化学院, 天津, 300300

收稿日期:2017-04-07 修回日期:2017-06-03 发布日期:2017-10-16 出版日期:2017-10-10
通讯作者: 葛宝臻(1964-),男,内蒙古卓资人,教授,博士,主要研究方向:激光三维彩色数字成像、光电检测、激光粒子测量,E-mail:gebz@tju.edu.cn
作者简介:李肖(1990-),女,河北石家庄人,硕士研究生,主要研究方向:双目立体视觉;葛宝臻(1964-),男,内蒙古卓资人,教授,博士,主要研究方向:激光三维彩色数字成像、光电检测、激光粒子测量;罗其俊(1982-),男,湖北云梦人,讲师,博士研究生,主要研究方向:计算机视觉、智能系统;李云鹏(1987-),男,天津人,博士研究生,主要研究方向:激光三维彩色数字成像;田庆国(1973-),男,河北唐山人,讲师,博士,主要研究方向:计算机可视化、图像图形学.
基金资助:
国家自然科学基金资助项目（61535008）。

Acquisition of camera dynamic extrinsic parameters in free binocular stereo vision system

LI Xiao^1,2, GE Baozhen^1,2, LUO Qijun^1,2,3, LI Yunpeng^1,2, TIAN Qingguo^1,2

1. School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China;
2. Key Laboratory of Opto-Electronics Information Technology of Ministry of Education, Tianjin 300072, China;
3. College of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China

Received:2017-04-07 Revised:2017-06-03 Online:2017-10-16 Published:2017-10-10
Supported by:
This work is partially supported by the National Natural Science Foundation of China (61535008).

摘要/Abstract

摘要： 针对自由双目立体视觉中由于摄像机旋转导致的摄像机外参数变化的问题，提出一种基于旋转轴标定的动态外参数获取方法。在多个不同位置，立体标定得到多组旋转平移矩阵，利用最小二乘法求解旋转轴参数；结合初始位置左右摄像机的内、外参数及旋转角度，实时获取左右摄像机的外参数。利用所提方法获取动态外参数，并对棋盘角点进行三维重建，平均误差为0.241mm，标准差为0.156mm；与基于多平面标靶的标定方法相比，精度高且操作简单。所提方法无需实时标定，可完成摄像机旋转情况下动态外参数的获取。

关键词: 机器视觉, 自由双目立体视觉, 动态外参数, 旋转轴标定, 三维重建

Abstract: Aiming to solve the change of the extrinsic parameters between the two cameras in free binocular stereo vision system caused by the rotation of the cameras, a method for acquiring the dynamic extrinsic parameters based on calibration of rotation axis was proposed. Multiple rotation and translation matrixes were obtained by the calibration at different positions, then the parameters of rotation axis could be calculated by using least square method. Combined with the intrinsic and extrinsic parameters at initial position and rotation angle, the dynamic extrinsic parameters between the two cameras could be calculated in real time. The chessboard corners were reconstructed with the dynamic extrinsic parameters calculated by the proposed method, the result showed that the average error was 0.241mm and the standard deviation was 0.156mm. Compared with the calibration method based on multiple-plane calibration target, the proposed method is easier to implement and has higher precision, where dynamic extrinsic parameters can be acquired without real-time calibration.

Key words: machine vision, free binocular stereo vision, dynamic extrinsic parameter, calibration of rotation axis, 3D reconstruction

中图分类号:

TP391.41

李肖, 葛宝臻, 罗其俊, 李云鹏, 田庆国. 自由双目立体视觉摄像机动态外参数的获取[J]. 计算机应用, 2017, 37(10): 2888-2894.

LI Xiao, GE Baozhen, LUO Qijun, LI Yunpeng, TIAN Qingguo. Acquisition of camera dynamic extrinsic parameters in free binocular stereo vision system[J]. Journal of Computer Applications, 2017, 37(10): 2888-2894.

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自由双目立体视觉摄像机动态外参数的获取

Acquisition of camera dynamic extrinsic parameters in free binocular stereo vision system

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