Projective illumination technique in unprepared environments for augmented reality applications

Most augmented reality (AR) applications in prepared environments implement illumination mechanisms between real and synthetic objects to achieve best results. This approach is beneficial to tracking technologies since additional visual cues provide seamless real-synthetic world integration. This research focuses on providing a projective illumination technique to aid augmented reality tracking technologies that work in unprepared environments where users are not allowed to modify the real environment, such as in outdoor applications. Here, we address the specific aspects of the common illumination problems such as efficient update of illumination for moving objects and camera calibration, rendering, and modeling of the real scene. Our framework aims to lead AR applications in unprepared environments with projective illumination regardless of the movement of real objects, lights and cameras.