GPS双目摄像机标定及空间坐标重建

孔筱芳; 陈钱; 顾国华; 钱惟贤; 任侃

doi:10.3788/OPE.20172402.0485

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GPS双目摄像机标定及空间坐标重建

信息科学 | 更新时间：2020-07-07

- GPS双目摄像机标定及空间坐标重建
- GPS-based binocular camera calibration and space coordinate reconstruction
- 光学精密工程 2017年25卷第2期页码：485-492
- 作者机构：
  
  南京理工大学电子工程与光电技术学院, 江苏南京 210094
- 作者简介：
  
  [ "孔筱芳 (1990-), 女, 江苏南京人, 博士研究生, 2013年于南京理工大学获得电子信息工程学士学位, 主要研究方向为图像处理。E-mail:xiaofangkong@163.com" ]
  陈钱 (1964-)，男，江苏无锡人，博士，教授，博士生导师，1991年于华东工学院光电技术系获得硕士学位，1996年于南京理工大学获得博士学位，现为南京理工大学副校长，主要研究方向为光电信息探测与图像处理、光电信号处理与数字视频技术。E-mail:chenq@mail.njust.edu.cn CHEN Qian, E-mail: chenq@mail.njust.edu.cn
- 基金信息：
  
  江苏省基础研究计划青年基金资助项目(BK20130769)
- DOI：10.3788/OPE.20172402.0485
  中图分类号： TP394.1
- 收稿日期：2016-07-02，
  
  录用日期：2016-8-24，
  
  纸质出版日期：2017-02-25
- 稿件说明：
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孔筱芳, 陈钱, 顾国华, 等. GPS双目摄像机标定及空间坐标重建[J]. 光学精密工程, 2017,25(2):485-492.

Xiao-fang KONG, Qian CHEN, Guo-hua GU, et al. GPS-based binocular camera calibration and space coordinate reconstruction[J]. Optics and precision engineering, 2017, 25(2): 485-492.
孔筱芳, 陈钱, 顾国华, 等. GPS双目摄像机标定及空间坐标重建[J]. 光学精密工程, 2017,25(2):485-492. DOI： 10.3788/OPE.20172402.0485.

Xiao-fang KONG, Qian CHEN, Guo-hua GU, et al. GPS-based binocular camera calibration and space coordinate reconstruction[J]. Optics and precision engineering, 2017, 25(2): 485-492. DOI： 10.3788/OPE.20172402.0485.

摘要

为减轻双目摄像机标定过程中对高精度靶标的依赖，实现摄像机参数的精确标定，并对空间坐标进行高精度重建，提出一种GPS双目摄像机标定及空间坐标重建方法，采用GPS代替2D或3D靶标进行双目摄像机标定。将GPS的位置在视场中任意移动，由被标摄像机拍摄多组含有GPS的图像，利用空间三维坐标与图像二维坐标间的映射关系，结合摄像机成像模型和双目摄像机标定原理，标定出双目摄像机参数，并对空间坐标进行精确重建。通过空间重建坐标与GPS实际测量值之间的相对距离误差，对重建精度进行检验。实验证明，该方法能够克服双目摄像机标定过程中对高精度靶标的依赖，空间重建坐标具有较高的精度，相对距离误差从1.56%减小到0.52%。

Abstract

To alleviate the dependence of binocular camera on high-accuracy target during calibration

achieve precise calibration of camera parameters and implement high-accuracy reconstruction of space coordinates

a GPS-based method for binocular camera calibration and space coordinate reconstruction is introduced

in which GPS instead of 2D or 3D targets is used to carry out the camera calibration.Through arbitrarily moving the GPS at the shooting site

multiple images with GPS are shot by calibrated camera; based on the mapping relation between spatial 3D coordinates and 2D image coordinates

the binocular camera parameters are calibrated and precise reconstruction of space coordinates is carried out by combining camera imaging model with calibration theory of binocular camera; finally

the reconstruction accuracy is tested in accordance with relative distance error between the space reconstruction coordinates and actual measurement values. The reconstruction results of proposed method are compared with the true data obtained by the GPS

and the results indicate that the method can help binocular camera to overcome the dependence on high-accuracy targets and equip the space reconstruction coordinates with relatively high accuracy

with a relative distance error decreased from 1.56% to 0.52%.

关键词

Keywords

references

TSAI R Y. An efficient and accurate camera calibration technique for 3D machine vision[J]. Proc.IEEE Conf.on Computer Vision & Pattern Recognition, 1986:364-374.

王琼华, 邓欢.集成成像3D拍摄与显示方法[J].液晶与显示, 2014, 29(2):153-158.

WANG Q H, DENG H. 3D pickup and display method of integral imaging[J]. Chinese Journal of Liquid Crystals and Displays, 2014, 29(2):153-158. (in Chinese)

李蓉, 邓春健, 邹昆.一种基于MRF的单幅图像数据的三维重构方法研究[J].液晶与显示, 2016, 31(3):301-309.

LI R, DENG CH J, ZOU K. 3D reconstruction method based on single image data by MRF[J]. Chinese Journal of Liquid Crystals and Displays, 2016, 31(3):301-309. (in Chinese)

杨宇, 阚凌雁, 于佳, 等.基于激光扫描的人脸三维重建方法[J].红外与激光工程, 2014, 43(12):3946-3950.

YANG Y, KAN L Y, YU J, et al.. Face 3D reconstruction based on laser scanning system[J]. Infrared and Laser Engineering, 2014, 43(12):3946-3950. (in Chinese)

谢易辰, 陈健, 闫镔, 等.三维特征点距离特征集合求交匹配算法[J].红外与激光工程, 2014, 43(8):2728-2732.

XIE Y CH, CHEN J, YAN B, et al.. Distance feature set intersection for 3D feature matching[J]. Infrared and Laser Engineering, 2014, 43(8):2728-2732. (in Chinese)

FAUGERAS O D, LUONG Q T, MAYBANK S J. Camera self-calibration:Theory and experiments[C]. ECCV, 2012:321-334.

张健新, 段发阶, 叶声华. "两步法"求取双目视觉传感器中摄像机位置关系[J].光电工程, 1998(5):37-41.

ZHANG J X, DUAN F J, YE SH H. "Two Step" method for binocular sensor self-calibration[J]. Opto-Electronic Engineering, 1998(5):37-41. (in Chinese)

马永壮, 刘伟军.一种基于双目主动视觉的线性自标定算法[J].机器人, 2004, 26(6):486-490.

MA Y ZH, LIU W J. A linear self-calibration algorithm based on binocular active vision[J]. ROBOT, 2004, 26(6):486-490. (in Chinese)

余小龙, 胡学奎. GPS RTK技术的优缺点及发展前景[J].测绘通报, 2007(10):39-41.

YU X L, HU X K. GPS RTK technique:merits, demerits and perspective[J]. Bulletin of Surveying and Mapping, 2007(10):39-41. (in Chinese)

黑志坚, 周秋生, 曲建光, 等. GPS RTK测量成果的精度估计及应用探讨[J].哈尔滨工业大学学报, 2006, 38(8):1295-1298.

HEI ZH J, ZHOU Q SH, QU J G, et al.. Precision estimation of GPS RTK survey production and its application discussion[J]. Journal of Harbin Institute of Technology, 2006, 38(8):1295-1298. (in Chinese)

李志远. GPS在目标跟踪坐标转换的应用研究[J].电脑编程技巧与维护, 2012(19):7-8.

LI ZH Y. The application of GPS in coordinate transformation in target tracking[J]. Computer Programming Skills & Maintenance, 2012(19):7-8. (in Chinese)

吴丹.计算机视觉中相机标定算法研究[D].武汉:华中科技大学, 2014.

WU D. Research on camera calibration in computer vision[D].Wuhan:Huazhong University of Science and Technology, 2014. (in Chinese)

HARTLEY R, ZISSERMAN A. Multiple View Geometry in Computer Vision[M]. Cambridge university press, 2003.

潘静, 李为民.基于3D立体靶标的摄像机标定算法[J].机械与电子, 2007(5):3-5.

PAN J, LI W M. Algorithm of implementing 3D calibration board-based camera calibration[J]. Machinery & Electronics, 2007(5):3-5. (in Chinese)

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