条纹图案测量系统中相机和投影仪的精确校准方法。

Accurate calibration method for camera and projector in fringe patterns measurement system.

作者信息

Chen Rui, Xu Jing, Chen Heping, Su Jianhua, Zhang Zonghua, Chen Ken

出版信息

Appl Opt. 2016 Jun 1;55(16):4293-300. doi: 10.1364/AO.55.004293.

DOI:10.1364/AO.55.004293

Abstract

The 3D measurement system based on fringe patterns is widely applied in diverse fields. The measurement accuracy is mainly determined by camera and projector calibration accuracy. In the existing methods, the system is calibrated by a dot calibration board with traditional image process algorithms. In this paper, an improved calibration method is proposed to increase camera and projector calibration accuracy simultaneously. To this end, first, a subpixel edge detection method is proposed to improve the detection accuracy of reference features for coarse calibration; second, an iterative compensation algorithm is developed to improve the detection accuracy of the reference feature centers for fine calibration. The experimental results demonstrate that the proposed calibration method can improve the calibration accuracy and measurement accuracy.

摘要

基于条纹图案的三维测量系统在多个领域得到了广泛应用。测量精度主要由相机和投影仪的校准精度决定。在现有方法中，该系统通过带有传统图像处理算法的点校准板进行校准。本文提出了一种改进的校准方法，以同时提高相机和投影仪的校准精度。为此，首先，提出了一种亚像素边缘检测方法，以提高粗校准中参考特征的检测精度；其次，开发了一种迭代补偿算法，以提高精校准中参考特征中心的检测精度。实验结果表明，所提出的校准方法能够提高校准精度和测量精度。