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Improved calibration method based on the RANSAC approach and an improved gray centroid method for a laser-line-based structured light system

机译:基于Ransac方法的改进校准方法及基于激光线结构光系统的改进灰色质心方法

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摘要

This paper proposes an improved calibration method for a structured light system by using the random sample consensus (RANSAC) method with nonlinear optimization and an improved gray centroid method. The proposed method is composed of two steps: calibrating intrinsic and extrinsic parameters for the camera, exploiting the improved gray centroid method to extract the centerline, and fitting the structured light plane by the RANSAC approach with the three-dimensional (3D) points obtained from different positions. The error function caused by the extracted centerline is deduced based on the pixel error perturbation method. The error results of the 3D points are simulated and analyzed. An imaging system is built to realize the 3D imaging. The experimental results show that the calibration error is within 0.08 mm and the reconstruction error is less than 0.45 mm. Moreover, it performs better for the reconstruction of complex objects compared with traditional methods. (C) 2019 Optical Society of America
机译:本文提出了通过使用具有非线性优化的随机样本共识(RANSAC)方法和改进的灰色质心方法,提出了一种改进了结构化光系统的校准方法。该方法由两个步骤组成:校准相机的内在和外在参数,利用改进的灰色质心方法来提取中心线,并通过RANSAC方法与所获得的三维(3D)点拟合结构化光平面。不同的位置。由提取的中心线引起的误差函数基于像素误差扰动方法推导出来。模拟和分析了3D点的误差结果。构建成像系统以实现3D成像。实验结果表明,校准误差在0.08 mm内,重建误差小于0.45 mm。此外,与传统方法相比,它对复杂对象的重建表现更好。 (c)2019年光学学会

著录项

  • 来源
    《Applied optics》 |2019年第35期|共11页
  • 作者单位

    Hohai Univ Coll Mech &

    Elect Engn Changzhou 213022 Peoples R China;

    Hohai Univ Coll Mech &

    Elect Engn Changzhou 213022 Peoples R China;

    Hohai Univ Coll Mech &

    Elect Engn Changzhou 213022 Peoples R China;

    Hohai Univ Coll Mech &

    Elect Engn Changzhou 213022 Peoples R China;

    Hohai Univ Coll Mech &

    Elect Engn Changzhou 213022 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 应用;
  • 关键词

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