Feature-Based Lens Distortion Correction for Image Mosaicing

We propose a method of correcting lens distortion for image mosaicing. Conventional calibration methods are tedious to use since they require special calibration patterns. While a few methods that do not use a calibration pattern have been proposed, these methods are slow to compute because they are based on a non-linear minimi~at~ion framework. Our method does not require any special calibrat.ion pattern. Compa.red with previous works not requiring a calibration patt,ern, our method is faster and numerically stable since it uses a linear function t,o solve the radial lens distortion coefficient. Our method uses feature correspondences, established by opt.ical flow est,imation, to correct dist,ort,ion after obtaining homography between images.