Photo-Consistent Motion Blur Modeling for Realistic Image Synthesis

Motion blur is an important visual cue for the illusion of object motion. It has many applications in computer animation, virtual reality and augmented reality. In this work, we present a nonlinear imaging model for synthetic motion blur generation. It is shown that the intensity response of the image sensor is determined by the optical parameters of the camera and can be derived by a simple photometric calibration process. Based on the nonlinear behavior of the image intensity response, photo-realistic motion blur can be obtained and combined with real scenes with least visual inconsistency. Experiments have shown that the proposed method generates more photo-consistent results than the conventional motion blur model.