A real-time augmented view synthesis system for transparent car pillars
In this paper, a real-time augmented view synthesis system is proposed. With real-time consideration and augmented reality property, the proposed system provides a novel application for making car pillars transparent to enlarge the eyesight of the drivers. Thanks to the proposed trinocular depth estimation, online depth generation becomes possible through trinocular fast dense disparity estimation. With the proposed texture mapping free viewpoint depth image based rendering on the GPU, the processing speed for view interpolation achieves real-time. The computational power doesn't cost much so that this real-time system is achievable on common computers. The experimental results show that the proposed system is able to project view synthesized video which is integrated with the background to make the user perceive seamless outside scene inside their car.