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期刊信息
  • 主管单位:
  • 中国科学技术协会
  • 主办单位:
  • 中国仪器仪表学会、上海光学仪器研究所、中国光学学会工程光学专业委员会
  • 主  编:
  • 庄松林
  • 地  址:
  • 上海市军工路516号上海理工大学《光学仪器》编辑部
  • 邮政编码:
  • 200093
  • 联系电话:
  • 021-55270110
  • 电子邮件:
  • gxyq@usst.edu.cn
  • 国际标准刊号:
  • 1005-5630
  • 国内统一刊号:
  • 31-1504/TH
  • 邮发代号:
  • 单  价:
  • 15.00
  • 定  价:
  • 90.00
基于单目摄像机的光学立体标定技术
Optics stereo calibration based on monocular camera
投稿时间:2021-03-20  
DOI:10.3969/j.issn.1005-5630.2021.05.003
中文关键词:  单摄相机  光学标定  三维重建  质心坐标法  三角剖分
英文关键词:single camera  optics calibration  three-dimensional reconstruction  centroid coordinate method  triangulation
基金项目:
作者单位E-mail
褚鑫磊 上海理工大学 光电信息与计算机工程学院,上海 200093  
隋国荣 上海理工大学 光电信息与计算机工程学院,上海 200093 suigr@usst.edu.cn 
摘要点击次数: 2435
全文下载次数: 2359
中文摘要:
      为了构建一种基于单摄像机的三维视觉系统,提出了重构光学标定点三维坐标、计算重构误差和优化标定参数的方法。通过移动高精度位移平台,构建三维视觉系统,计算左右摄像机位的初始参数,引入质心坐标法计算两摄像机位间的旋转平移矩阵,利用最优三角剖分法重构光学标定点的三维坐标,计算并最小化重构误差,对标定参数进行优化。实验表明:重构误差直接反映了三维重建的效率,该方法的精度和鲁棒性得到了显著的提高;实物外形测量的误差从0.1123 mm减小到0.0191 mm,标准差从0.1838减小到0.1275。该方法适合应用于三维视觉系统标定质量的评估。
英文摘要:
      A new method is proposed to optimize the calibration parameters of the parallel binocular vision system based on single camera by calculating the reconstruction error of the three-dimensional coordinates of the standard points. Using a single camera and a high-precision displacement platform to realize binocular vision system, the initial parameters of the left and right cameras were calculated. The centroid coordinates were introduced to calculate the rotation translation matrix between the two cameras, and the three-dimensional coordinates of the standard points were reconstructed by triangulation. The reconstruction errors were calculated and minimized, and the calibration parameters were optimized. The reconstruction error directly reflects the efficiency of three-dimensional reconstruction and is more suitable for the evaluation of three-dimensional vision system calibration quality. The test results show that the accuracy and robustness of this method are improved significantly. The physical shape measurement error and standard deviation are reduced from 0.1123 mm to 0.0191 mm and from 0.1838 to 0.1275.
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