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Calibration of quad-camera measurement systems using a one-dimensional calibration object for three-dimensional point reconstruction

机译:使用一维校准对象对四点测量系统进行校准,以进行三维点重建

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摘要

A quad-camera visual measurement system must have a calibration accuracy that is equivalent to its reconstruction accuracy. We investigate the effects of quad-camera calibration methods and propose a method based on a one-dimensional (1-D) object. First, the essential matrices are calculated and combined with the RANSAC method to obtain the image coordinate of the 1-D calibration object. Then, the initial values of the four camera matrices are retrieved from the essential matrices to scale. Subsequently, the Euclidean distance between the calibration points of the 1 -D calibration object is used to retrieve the scale factor. Furthermore, an uncertainty analysis of three-dimensional (3-D) point reconstruction is conducted, and based on this, an iterative linear calibration method is introduced to refine the initial calibration results. Finally, a set of calibration objective functions are established by analyzing the measurement process. A synthetic optimizing algorithm is adopted to obtain the high-precision calibration results of the quad-camera measurement system. Experiments are conducted to analyze the calibration accuracy and robustness of the proposed method in the presence of noise. The results indicate that the proposed method can increase the 3-D measurement accuracy and robustness.
机译:四镜头视觉测量系统必须具有与其重建精度相当的校准精度。我们研究了四相机校准方法的效果,并提出了一种基于一维(1-D)对象的方法。首先,计算基本矩阵并将其与RANSAC方法组合以获得一维校准对象的图像坐标。然后,从基本矩阵中检索四个相机矩阵的初始值以进行缩放。随后,使用一维校准对象的校准点之间的欧式距离来获取比例因子。此外,进行了三维(3-D)点重构的不确定性分析,并在此基础上引入了迭代线性校准方法以细化初始校准结果。最后,通过分析测量过程建立了一套校准目标函数。采用综合优化算法获得四相机测量系统的高精度校准结果。进行了实验,以分析在噪声存在下该方法的校准精度和鲁棒性。结果表明,该方法可以提高3-D测量的精度和鲁棒性。

著录项

  • 来源
    《Optical engineering》 |2019年第6期|064107.1-064107.11|共11页
  • 作者单位

    Harbin Institute of Technology, School of Astronautics, Harbin, China;

    Harbin Institute of Technology, School of Astronautics, Harbin, China,Harbin Institute of Technology, School of Electrical Engineering, Harbin, China;

    System Engineering Research Institute, Beijing, China;

    Harbin Institute of Technology, School of Astronautics, Harbin, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    instrumentation; measurement and metrology; machine vision; calibration; vision-binocular and stereopsis;

    机译:仪器仪表测量和计量机器视觉校准;视觉双眼和立体视;

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