Binocular Camera Calibration Based on Three-dimensional Reconstruction Error

Changying Liu, Tongtong Li, Yang Liu, Tianhao Wang, Dapeng Yang
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引用次数: 1

Abstract

This paper presents a new high precision binocular camera calibration method. In the classical calibration method, the camera parameters are usually obtained by the optimization calculation of the re-projection error. However, for the system used for three-dimensional optical measurement, this error does not represent the result of three-dimensional reconstruction. In this method, a specially designed calibration board is photographed at multiple angles. (there is no strict requirement in the calibration process.), the intrinsic parameters of the two cameras are obtained by the image. Then, the rotation matrix and translation matrix between the two cameras are computed by the centroid distance increment matrix method. Thus the degree of coupling between the parameters is reduced. At the same time, the space intersection method is used to reconstruct the 3D coordinates of calibration points. Finally, the reconstruction error is calculated and minimized to optimize the calibration parameters. This error directly reflects the efficiency of 3D reconstruction and is more suitable for the quality evaluation of binocular camera calibration. Experiments show that this method is simple, accurate and significantly improves the accuracy.
基于三维重建误差的双目摄像机标定
提出了一种高精度双目摄像机标定新方法。在经典的标定方法中,摄像机参数通常是通过再投影误差的优化计算得到的。然而,对于用于三维光学测量的系统来说,这个误差并不代表三维重建的结果。在这种方法中,一个专门设计的校准板在多个角度拍摄。(在标定过程中没有严格的要求),通过图像获得两台相机的内在参数。然后,采用质心距离增量矩阵法计算两个摄像机之间的旋转矩阵和平移矩阵;这样就降低了参数之间的耦合程度。同时,利用空间交点法重构标定点的三维坐标。最后,对重构误差进行了计算和最小化,优化了标定参数。该误差直接反映了三维重建的效率,更适合于双目摄像机标定的质量评价。实验表明,该方法简单、准确,显著提高了检测精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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