A New Approach to Automated Rectification of the Camera Radial Distortion Based on Fundamental Matrix
一种基于基本矩阵的相机畸变差自动校正方法

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.