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Large object vision measurement system based on a fixed connection between a camera and a total station telescope

机译:基于相机和全站仪望远镜之间固定连接的大物体视觉测量系统

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摘要

Vision measuring, involving the measurement of the three-dimensional shape and color of large objects using stereo vision-based methods, is a challenging task. In this study, a freely adjustable vision measurement system for large objects is developed by connecting a camera to a total station telescope via a fixed mount. In this system, a camera is focused on the target object to be measured in far-range scenarios. A high-precision calibration method is proposed based on non-parametric camera models. In addition, a point cloud-based three-dimensional reconstruction method is developed by integrating with the non-parametric camera models. The experimental results showed that the proposed system has high precision and robustness. When measuring objects from a distance of 8 m in an indoor scenario, the error in the maximum spatial distance measurement between two corner points on the calibration board is less than 0.24 mm. The maximum relative measurement error is less than 0.09%. When measuring an object 20 m away in an outdoor scenario, the average error in the spatial distance measurement between two arbitrary points in an 11 m x 4 m testing region is 5.6 mm. The average relative error in the distance measurement is 0.12%. (C) 2019 Optical Society of America
机译:视觉测量,涉及测量使用基于立体视觉的方法的大物体的三维形状和颜色,是一个具有挑战性的任务。在这项研究中,通过通过固定安装件将相机连接到全站仪望远镜,开发了一种用于大物体的可自由调节视觉测量系统。在该系统中,相机专注于在远程场景中测量的目标对象。基于非参数相机模型提出了一种高精度校准方法。此外,通过与非参数相机模型集成来开发基于云的三维重建方法。实验结果表明,该系统具有高精度和鲁棒性。当在室内场景中从8米的距离测量对象时,校准板上两个角点之间的最大空间距离测量中的误差小于0.24 mm。最大相对测量误差小于0.09%。当在户外场景中测量20 m外的物体时,在11M×4M测试区域的两个任意点之间的空间距离测量中的平均误差为5.6mm。距离测量中的平均相对误差为0.12%。 (c)2019年光学学会

著录项

  • 来源
    《Applied optics》 |2019年第26期|共14页
  • 作者

    Li Yichao; Fang Suping;

  • 作者单位

    Xi An Jiao Tong Univ State Key Lab Mfg Syst Engn 28 Xianning Xian 710049 Shaanxi Peoples R China;

    Xi An Jiao Tong Univ State Key Lab Mfg Syst Engn 28 Xianning Xian 710049 Shaanxi Peoples R China;

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  • 正文语种 eng
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