Real-Time Simulation of Motion-Based Camera Disturbances

In the RoboCup domain, many robot, Systems use low-cost image sensors to perceive the robot's environment and to locate the robot ill its environment. The image processing typically has to handle image distortions such as motion blur, noise, and the properties of the shutter mechanism. If a simulator is used ill the development of the control software, the simulation has to take account. for these artifacts. Otherwise, the performance of the image processing system in the simulation may not correspond to its performance Oil the real robot; it may even perform Worse. The effect of motion blur has been widely used for special effects both for movies and for computer games. While real-time algorithms using modern graphics hardware came up in recent years, the image distortion resulting from a so-called rolling shutter has not been in focus so Far. In fact, this effect is not relevant for gaining, but it is for simulating low-cost cameras of robots. In this paper, we present. an efficient way to simulate the rolling shutter effect rising per-pixel velocities. In addition, we improve the velocity buffer method for creating motion blur using the current speed of each pixel ill real-time. The application of our approach is shown exemplarily for the head-mounted camera of a humanoid soccer robot.