基于距离特征的自适应阈值视频拼接算法

Adaptive Threshold Video Splicing Algorithm Based on Distance Feature

针对虚拟漫游系统中视频拼接问题,提出一种基于距离的自适应阈值拼接算法.通过提取距离特征,并在待匹配的帧图像中采用自适应阈值序列的序贯相似性检测算法搜索匹配特征,从而确定重叠部分的起始列值.实验结果表明,该算法能更好地实现视频拼接,且减少计算量,提高拼接速度.

An adaptive threshold video splicing algorithm based on distance feature is p problem of video splicing in virtual walkthrough system. The algorithm is used to splice video images captured by virtual walkthrough system. By extracting distance feature, the adaptive threshold sequential similarity detection algorithms （SSDA） is used to search the matching feature in the frame images to be matched. Then, the beginning column of the overlapping part is estimated. Experimental results show the proposed algorithm realizes video splicing better, reduces workload and accelerates the splicing speed.