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Binocular Camera Calibration Based on Three-dimensional Reconstruction Error

机译:基于三维重构误差的双目摄像机标定

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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.
机译:本文提出了一种新的高精度双目相机标定方法。在经典的校准方法中,通常通过重新投影误差的优化计算来获得相机参数。但是,对于用于三维光学测量的系统,此误差并不代表三维重建的结果。用这种方法,可以在多个角度拍摄专门设计的校准板。 (在校准过程中没有严格要求。),两个摄像机的固有参数是通过图像获得的。然后,通过质心距离增量矩阵方法计算两个摄像机之间的旋转矩阵和平移矩阵。因此,降低了参数之间的耦合度。同时,使用空间相交法重建校准点的3D坐标。最后,计算重建误差并将其最小化以优化校准参数。此错误直接反映了3D重建的效率,更适合于双目相机校准的质量评估。实验表明,该方法简单,准确,大大提高了准确率。

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