摘要
在视频拼接过程中,需要进行大量的图像处理计算,高复杂度的拼接算法很难满足实时性要求。因此,为了实现多视频源快速拼接,不仅要求拼接算法具有较强的鲁棒性,同时还需要具有较低的复杂度。文中提出了一种新的快速宽视频拼接方法,此方法首先利用SURF算子提取图像特征点并进行匹配,接着使用多分辨率融合算法进行全景图融合,然后利用基于路径的方法结合光流实现低复杂度的视频插帧,同时整个宽视频拼接过程使用CUDA进行并行加速,最后用一个双目拼接系统对文中提出的方法进行可行性验证。
In the process of video stitching,high complexity algorithm can＇t use to real-time video stitching since most image process contains mass of computing. In order to achieve real-time stitching,the stitching algorithm must have strong robustness and lower com-plexity. In this paper,propose a new method about fasting-video stitching. First,it extracts and matches the image feature points by using SURF,and blends the panorama image by using multi-resolution fusion algorithm. Then achieve a low complex video interpolation by combining the base-path with optical flow. Meanwhile it accelerates the whole process by using CUDA. At last,a binocular stitching sys-tem is introduced to verify the whole process＇s feasibility.
出处
《计算机技术与发展》
2015年第1期15-18,共4页
Computer Technology and Development
基金
国家重大科技专项课题(2009ZX04001-111)
