Calibration method for large-field-of-view stereo vision system based on distance-related distortion model

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 x 2.0 mx 16.0 m is 3.6 parts per thousand. 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. (C) 2023 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement

Automated summary

Large-field-of-view stereo vision system lacks flexible and high-precision calibration methods. We proposed a new distance-related distortion model based calibration method combining 3D points and checkerboards. The experiment shows that the proposed method has a low reprojection error and accurate length measurement compared to other models and calibration methods.