Calibration technique of binocular vision measurementsystem using light pen
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摘要: 针对光笔式双目视觉测量系统的标定问题，讨论了关于相机内参、双相机外参以及测量笔的相关标定理论,开发了一整套基于LabVIEW的标定系统。运用张氏平面标定法实现了相机内参标定。结合基于标准长度的外部参数标定方法，实现了双相机外参数标定。运用粒子群算法和LM算法相结合，加快了目标函数高维寻优速度。在测量笔标定环节，提出了一种基于最小二乘法的现场校准方法。标定系统完成了后期开展相关测量前的所有准备工作，具有较高的精度和实用性。在测量系统标定结果基础上对直径25 mm标准陶瓷球进行测量，测量结果标准差达到0.019 mm。Abstract: Aiming at the calibration problem of the binocular vision measurement system using a light pen, the theory about the calibration of camera intrinsic parameters, double-camera extrinsic parameters and measuring pen was discussed. At the same time, the whole calibration system based on LabVIEW was developed. The camera intrinsic parameters calibration wasachieved by using Zhang plane calibration method,while the double-camera extrinsic parameters calibration was achieved by the method based on standard length. Using the method combining the particle swarm optimization with the Levenberg-Marquard(LM) algorithm, the high-dimensional optimization target function was speeded up effectively. In the process of measuring pen calibration, a very convenient field calibration method based on least square was proposed. The calibration system could complete all the preparation work before the relevant measurement. It has high precision and practicability. Based on the calibration results of measurement system, the standard deviation of test result for the 25 mm diameter standard ceramic ball is 0.019 mm.
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[1]Zhang Guoxiong. The development trend of three coordinate measuring machine[J].China Mechanical Engineering, 2000，11(1):222-226.
张国雄.三坐标测量机的发展趋势[J].中国机械工程，2000，11(1):222-226.
[2]Jiang Guangwen, Chao Zhichao, Fu Sihua,et al. High accurate camera calibration technique based on controllable rotation[J]. Acta Optica Sinica，2010,30（4）：1309-1314.
姜广文，晁志超，伏思华，等. 基于可控旋转的相机高精度标定技术[J]. 光学学报，2010,30（4）：1309-1314.[3]Liu Yiyu. Light pen binocular vision measurement system research[D]. Changsha:Central South University,2010.
刘一宇.光笔双目视觉测量系统的研究[D].长沙：中南大学, 2010.
[4]Xu Qiaoyu.Study of the key technologies of online 3D vision measurement system for large-scale equipments[D]. Harbin:Harbin Institute of Technology,2007.
徐巧玉.大型装备在线三维视觉测量系统关键技术研究[D].哈尔滨:哈尔滨工业大学,2007.
[5]Zhang Z Y. A flexible new technique for camera calibration[J]. IEEE Trans. on Patern Analysis and - Machine Intelligence, 2000,22(11):1330-1334.
[6]Tasi R Y. An efficient and accurate camera calibration technique for 3D machine vision[J]. Proc. of IEEE Conference of Computer Vision and Pattern Recognition, 1986, 10(3): 364-374.
[7]Wei G Q, Ma S D. Implicit and explicit camera calibration:Theory and experiment[J]. IEEE Trans. on Pattern Recognition and Machine Intelligence, 1994, 16(5): 469-480.
[8]Zhang Guangjun. Visual measurement[M].Beijing:Science Press,2008.
张广军. 视觉测量[M]. 北京：科学出版社，2008.
[9]Xie Kexin. Optimization method[M]. Rev. ed. Tianjin：Tianjin University Press，1997:144-165.
解可新. 最优化方法[M]. 修订版.天津：天津大学出版社，1997:144-165.
[10]Xu Tingfa. Precise perimeter measurement for 3D object with a light-pen vision measurement system [J]. Optics&Laser Technology,2009,41:815-819. -
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