Abstract:
This paper is demonstrating about a 2D-TO-3D video conversion system capable of real-time 1920*1080p conversion. The proposed system generates 3D depth information by fusing cues from edge feature-based global scene depth gradient and texture-based local depth refinement, generated 3d images have comfortable and vivid quality, and algorithm has very low computational complexity. Software is based on a system with a multi-core CPU and a GPU. To optimize performance, we use several techniques including unified streaming dataflow, multi-thread schedule synchronization, and GPU acceleration for depth image-based rendering(DIBR).With proposed method, real-time 1920*1080p 2D-to-3D video conversion running at 30fps is then achieved.
Keywords: Depth map generation, 2D-to-3D conversion, real-time implementation, 3D video