Zhu Zhenmin, Wang Xinyun, Zhou Fuqiang, Cen Yigang
Appl Opt. 2020 Feb 10;59(5):1376-1382. doi: 10.1364/AO.378638.
This paper presents a new, to the best of our knowledge, calibration method for line-structured light vision sensors. The laser stripe intersecting the cylindrical target and the line-structured light is captured by the camera, and the light plane parameters of the line-structured light are obtained by combining the cross-sectional characteristics of the ellipse. The nonlinear optimization of the light plane parameters use multiple locations to get the optimal solution of the light plane equation. This method requires only a single cylindrical target, which in turn greatly simplifies the calibration process. The results of simulation experiments and physical experiments show that the proposed calibration method can achieve higher calibration accuracy and measurement accuracy. The effectiveness of the new calibration method is verified.
据我们所知，本文提出了一种用于线结构光视觉传感器的新校准方法。相机捕捉与圆柱形目标相交的激光条纹和线结构光，通过结合椭圆的横截面特征来获取线结构光的光平面参数。光平面参数的非线性优化利用多个位置来获得光平面方程的最优解。该方法仅需一个圆柱形目标，从而极大地简化了校准过程。仿真实验和物理实验结果表明，所提出的校准方法能够实现更高的校准精度和测量精度。验证了新校准方法的有效性。
