基于嵌入式CPU-GPU的高清鱼眼视频实时校正系统-计算机工程与应用.PDF

172 2016 ，52（14） Computer Engineering and Applications 计算机工程与应用 基于嵌入式CPU-GPU 的高清鱼眼视频实时校正系统 公维理 GONG Weili 同济大学 电子与信息工程学院，上海 200092 College of Electronics and Information Engineering, Tongji University, Shanghai 200092, China GONG Weili. HD fisheye video stream real-time correction system based on embedded CPU-GPU. Computer Engi- neering and Applications, 2016, 52 （14）：172-179. Abstract ：In the field of security video surveillance, real-time monitoring system is needed to achieve real-time monitoring for 360°× 180° wide panoramic areas with high definition, existing fish-eye correction systems have higher cost, poor flexi- bility, especially low definition and poor real-time problems, etc. In order to solve real-time problems, this article proposes CPU-GPU high-speed communication protocol based on embedded platform STiH418 and CPU-GPU memory sharing method based on programming shader, and achieves HD panoramic fisheye video real-time correction system on CPU-GPU using texture mapping technology. Compares with the related correction system, experimental results show that the system takes good algorithm efficiency, effectiveness and integrity of corrected image, can fully meet the HD pano- ramic 360°× 180° （4 million pixels, 2048 ×2048p30 ）in real-time correction, embedded systems STiH418 reduce overall system cost compared with PC, correction MAP is generated and updated by ARM CPU in software, virtual PTZ improves system flexibility and stability, so the system has a high practical value in security video surveillance market. Key words ：panoramic High Definition （HD ）fisheye video real-time correction; embedded Central Processing Unit-Graphic Processing Unit （CPU-GPU ）; linear equidistant spherical perspective projection; texture mapping 摘 要：在安防监控领域，需要鱼眼实时监控系统实现360°×180°大范围高质量无死角全景实时监控，现有的鱼眼校 正系统存在成本较高，灵活性差，特别是清晰度不高和实时性差等方面的问题。针对如何提高全景高清鱼眼视频校 正的实时性问题，提出了基于嵌入式平台STiH418 的CPU-GPU 高速通信协议和基于可编程着色器的嵌入式 CPU-