An Efficient Stereoscopic Game Conversion System for Embedded Platform

A low cost embedded auto-stereoscopic game conversion system is presented in this paper. The system is implemented both in software and hardware. The software is run on embedded GPU (E-GPU) to generate the depth map from a traditional 3D game which only has 2D images by extracting and processing the hidden information which is used to build the scene. Then multi-view image is generated by depth image based rendering (DIBR) accelerator which is implemented by hardware. To improve the efficiency, the parallel and pipelined architecture is proposed. The design is verified on FPGA platform. The result shows that the proposed system can convert traditional 3D game to stereoscopic game with low cost and low power. Therefore it is suitable for handheld devices.