Inferring changes in intrinsic parameters from motion blur

摘要

Estimating changes in camera parameters, such as motion, focal length and exposure time over a single frame or sequence of frames, is an integral part of many computer vision applications. Rapid changes in these parameters often cause motion blur to be present in an image, which can make traditional methods of feature identification and tracking difficult. In this work we describe a method for tracking changes in two camera intrinsic parameters - shutter angle and scale changes brought about by