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配备偏振器的双目立体视觉系统结构参数的标定方法。

Calibration method for structure parameters of a binocular stereo vision system equipped with polarizers.

作者信息

Zhang Zimiao, Xu Kai, Zhang Fumin, Zhang Shihai, Nie Yahui

出版信息

J Opt Soc Am A Opt Image Sci Vis. 2022 Apr 1;39(4):523-534. doi: 10.1364/JOSAA.449613.

DOI:10.1364/JOSAA.449613
PMID:35471374
Abstract

For structure parameter calibration of a binocular stereo vision system equipped with polarizers, the optimal calibration polarization angle needs to be determined. There are no corresponding solutions for the determination of the optimal polarization angle of structure parameter calibration. Furthermore, existing research considers the polarization angle that causes the image to possess the lowest brightness (gray value) as the optimal polarization angle. This reduces image contrast, and eventually the texture information of the image is lost, which also affects the accuracy of feature extraction. In this paper, we propose a new calibration method for the structure parameters of a binocular stereo vision system equipped with polarizers. We calculated the pose of the target relative to each camera for different polarization angles. The sum of the object-space errors corresponding to each polarization angle was considered as the evaluation criterion to determine the optimal calibration polarization angle. The calibration of structure parameters was finished using images captured on the premise of the optimal calibration polarization angle. This angle can also be considered as the reference of the polarization angle for measurement. Experiment results show that using the calibration results of our method, the reconstructed length error of a 275×200 target was less than ±0.052, the reconstructed linear displacement error was less than ±0.048 for the range of 0-30 mm, and the reconstructed rotary angle error was less than ±0.048 for the range of-30-30.

摘要

对于配备偏振器的双目立体视觉系统的结构参数校准,需要确定最佳校准偏振角。目前尚无针对结构参数校准中最佳偏振角确定的相应解决方案。此外,现有研究将使图像具有最低亮度(灰度值)的偏振角视为最佳偏振角。这降低了图像对比度,最终导致图像纹理信息丢失,也影响了特征提取的准确性。在本文中,我们提出了一种针对配备偏振器的双目立体视觉系统结构参数的新校准方法。我们计算了不同偏振角下目标相对于每个相机的位姿。将每个偏振角对应的物空间误差之和作为评估标准来确定最佳校准偏振角。在最佳校准偏振角的前提下,使用拍摄的图像完成结构参数的校准。这个角度也可作为测量时偏振角的参考。实验结果表明,使用我们方法的校准结果,275×200目标的重建长度误差小于±0.052,在0 - 30毫米范围内重建线性位移误差小于±0.048,在 - 30 - 30范围内重建旋转角度误差小于±0.048。

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