双目视觉系统测量精度分析

肖志涛; 张文寅; 耿磊; 张芳; 吴骏

doi:doi:10.3969/j.issn.1003-501x.2014.02.002

光电工程, 2014, 41 (2): 6, 网络出版: 2014-02-26

双目视觉系统测量精度分析

Accuracy Analysis of Binocular Vision System

论文大纲

肖志涛 ^*张文寅耿磊张芳吴骏

作者单位

天津工业大学电子与信息工程学院，天津 300387

双目视觉误差分析摄像机标定镜头景深 binocular vision system error analysis camera calibration depth of field

摘要

针对双目视觉系统测量精度的问题，本文提出并建立了双目视觉系统误差分析模型，分析了摄像机标定精度、镜头参数及系统结构参数对系统测量精度的影响，并结合实验证明了理论的正确性。实验表明，在标定板均匀分布于具有较大深度范围系统的整个可视区域时，增加标定图像数目能有效提高系统精度; 在保证系统有效视场的前提下，增大基线距能有效的提高系统测量精度; 相机光轴与基线夹角在[55o～70o]取值时，系统测量精度较高。

Abstract

To improve the measurement accuracy of the binocular vision system, the binocular vision system error model is established. Meanwhile, the influence of camera calibration accuracy and the lens parameters and structural parameters of vision system on system accuracy are analyzed. And the rationality of the theoretical analysis is verified by experiment. The experiment results show that, when placing calibration targets at the different depths relative to the camera of the entire field of view, the system accuracy can be improved effectively by increasing the number of calibration image. The system error can be reduced by increasing the baseline distance in the premise of effective field of view. And the system has higher measurement accuracy while the angle values between the baseline and the optic axial range from 55o to 70o.

参考文献

[1] 朱云芳. 摄像机径向畸变校正和内参估计的单图像标定方法 [J].光电工程， 2012，39(9): 125-131. ZHU Yunfang. Calibration of Radial Distortion and Intrinsic Parameters Using a Single Image [J]. Opto-Electronic Engineering，2012，39(9): 125-131.

[2] LI Baozhang，CUI Yanping. Edge Subpixel Location of Ellipse in Computer Vision Measurement [C]// 3rd International Conference on Advanced Computer Control，Harbin，China，Jan 18-20，2011: 452-456.

[3] 魏振忠，高明，张广军 . 光笔视觉三维测量中光斑图像点立体匹配方法 [J].光电工程， 2009，36(8): 45-49. WEI Zhenzhong，GAO Ming，ZHANG Guangjun. Stereo Matching of Light-spot Image Points in Light-probe 3D Vision Measurement [J]. Opto-Electronic Engineering，2009，36(8): 45-49.

[4] GUO Yubo，YAO Yu，DI Xiaoguang. Research on structural parameter optimization of binocular vision measuring system for parallel mechanism [C]// International Conference on Mechatronics and Automation，Luoyang，China，June 25-28，2006: 1131-1135.

[5] LIU Qiong，QIN Xiansheng，YIN Shenshun，et al. Structural parameters optimal design and accuracy analysis for binocular vision measure system [C]// International Conference on Advanced Intelligent Mechatronics，Xian，China，July 2-5，2008: 156-161.

[6] 刘亚菲，郭慧，聂冬金，等 . 双目立体视觉系统测量精度的分析 [J].东华大学学报: 自然科学版， 2012，38(5): 574-576. LIU Yafei，GUO Hui，NIE Dongjin，et al. Analysis on measurement accuracy of binocular stereo vision system [J]. Journal of Donghua University: Natural Science，2012，38(5): 574-576.

[7] 赵萍，李永奎，田素博，等 . 双目视觉测量系统结构参数理论与试验研究 [J].机械设计， 2013，30(2): 64-68. ZHAO Ping，LI Yongkui，TIAN Subo，et al. Theoretical and experimental study of structural parameters of binocular vision measuring system [J]. Journal of Machine Design，2013，30(2): 64-68.

[8] Carsten Steger，Maekus Ulrich，Christian Wiedemann，et al. Machine Vision Algorithms and Applications [M]. Berlin: Wiley-VCH，2008: 268-274.

[9] Ishita De，Bhabatosh Chanda，Buddhajyoti Chattopadhyay. Enhancing effective depth-of-field by image fusion using mathematical morphology [J]. Images and Vision Computing(S0262-8856)，2006，24(12): 1278-1287.

[10] Prasad A K. Stereoscopic particle image velocimetry [J]. Experiments in fluids(S0723-4864)，2000，29(2): 103-116.

肖志涛, 张文寅, 耿磊, 张芳, 吴骏. 双目视觉系统测量精度分析[J]. 光电工程, 2014, 41(2): 6. XIAO Zhitao, ZHANG Wenyin, GENG Lei, ZHANG Fang, WU Jun. Accuracy Analysis of Binocular Vision System[J]. Opto-Electronic Engineering, 2014, 41(2): 6.

双目视觉系统测量精度分析

关于本站 Cookie 的使用提示

全站搜索

双目视觉系统测量精度分析

相关论文

相关资讯

关于本站 Cookie 的使用提示

全站搜索