基于改进随机抽样一致算法的视频拼接算法

摘要

In order to solve problems of seam and ghosting in real-time video mosaics,a video mosaic algorithm based on improved random sample consenus (RANSAC) algorithm was proposed.Firstly,speed-up robust features algorithm is used to extract feature points and find matching feature points in the overlapping area of binocular camera.Then,the improved RANSAC algorithm is adopted to remove the mismatched point pairs and obtain the optimal homography matrix.Finally,the pixels in overlapping areas are processed by dynamic fusion.The experiment results show that using the proposed algorithm can effectively eliminate the seam and ghosting in the video overlapping area,and also ensure real-time performance of the video mosaic system.%为了解决实时视频拼接中的鬼影和拼接缝问题,提出了一种基于改进随机抽样一致算法的实时视频拼接算法.首先,针对双目摄像头的重叠区域,采用加速鲁棒特征算法提取特征点,寻找特征匹配点对;然后利用改进的随机抽样一致算法去除误匹配点对,获得最优单应性矩阵;最后,对重叠区域像素进行动态融合处理.实验结果表明,采用本文算法可以有效地消除视频重叠区域的拼接缝和鬼影,同时可保证视频拼接系统的实时性.