一种基于基本矩阵的相机畸变差自动校正方法

在计算机视觉的应用领域中,为了提高图像量测和3维重建的精度,必须对相机的畸变误差进行修正。为此提出了一种基于基本矩阵的相机径向畸变的自动校正方法,该方法不需要预先获得场景的结构信息和相机的内部参数,仅利用两张影像同名点集之间的内在几何关系,即可求取相机的径向畸变系数,进而可对这两幅图像的畸变误差进行自动校正。试验结果表明,该方法是一种有效的畸变图像校正算法,能够获得到满意的校正结果。

A New Approach to Automated Rectification of the Camera Radial Distortion Based on Fundamental Matrix

In the application fields of computer vision,camera non-linear distortion should be rectified in order to enhance the accuracy of the image measurement and 3D reconstruction.In this paper,a new approach to automated rectification of the camera radial distortion is proposed.The method makes use of a set of image point correspondences from two images to accomplish the estimation of the radial distortion from the estimation of fundamental matrix.Based on the intrinsic geometric relations between the two images,the distortion parameters and the fundamental matrix between the corrected images can be acquired automatically.Neither the camera intrinsic parameters nor knowledge about the scene structures is required in the process.Experimental results indicate that the algorithm proposed is effective and reliable.