Learning to Calibrate Straight Lines for Fisheye Image Rectification

This paper presents a new deep-learning based method to simultaneously calibrate the intrinsic parameters of fish-eye lens and rectify the distorted images. Assuming that the distorted lines generated by fisheye projection should be straight after rectification, we propose a novel deep neural network to impose explicit geometry constraints onto processes of the fisheye lens calibration and the distorted image rectification. In addition, …