Calibration method for large-field-of-view stereo vision system based on distance-related distortion model.
Calibration method for large-field-of-view stereo vision system based on distance-related distortion model.
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DOI：
10.1364/oe.492498
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发表时间：
2023-05
期刊：
影响因子：
3.8
通讯作者：
Xu Wang;Yang Gao;Zhenzhong Wei
中科院分区：
文献类型：
--
作者：
Xu Wang;Yang Gao;Zhenzhong Wei
大视场立体视觉系统缺乏灵活、高精度的标定方法。为此，我们提出了一种结合三维点和棋盘的基于距离相关畸变模型的标定方法。实验表明，该方法对标定数据集的重投影误差的均方根误差小于0.08像素，在5.0 m × 2.0 m × 16.0 m的体积上测量长度的平均相对误差为3.6‰。与其他距离相关模型相比，该模型在测试数据集上的重投影误差最小。此外，与其他校准方法相比，我们的方法具有更高的精度和更大的灵活性。
Large-field-of-view stereo vision system lacks flexible and high-precision calibration methods. To this end, we proposed a new distance-related distortion model based calibration method combining 3D points and checkerboards. The experiment indicates that the proposed method has a root mean square of fewer than 0.08 pixels for the reprojection error on the calibration dataset, and the mean relative error of length measurement in a volume of 5.0 m × 2.0 m × 16.0 m is 3.6‰. Compared with other distance-related models, the proposed model has the lowest reprojection error on the test dataset. Besides, in contrast to other calibration methods, our method offers enhanced accuracy and greater flexibility.