特定场景大视角视频拼接技术研究与实现

Research and Realization of Large-angle Video Stitching Technology in Specific Scene

本文对视频拼接设计了一个简单的框架,主要是采用三路固定摄像进行实时拼接,在Uuntu16.04系统安装OpenCV开源库和CUDA8.0软件包,并使用该系统搭建视频拼接框架系统。利用GPU编程技术,对视频拼接技术中最耗时的特征匹配算法、细缝估计、多波段融合和扭曲映射算法进行加速。在计算资源足够的情况下,利用CUDA进行在线实时视频流拼接。

This paper designs a simple framework for video stitching, mainly using three fixed camera for real-time stitching; installs OpenCV base and CUDA8.0 software package in the Uuntul6.04 system; and uses the system to build video stitching frame system. It uses GPU programming technology to accelerate the most time-consuming algorithms of video stitching technology, such as feature matching, slit estimation, multi-band fusion and twist mapping. With sufficient calculation resources, CUDA is used for the online real-time video stream stitching.