A Real-time Stitching Algorithm for UAV Aerial Images

摘要：

　　Real-time stitching is a research focus of UAV area.The speed and accuracy of stitching algorithm are both important for commanders to make right decisions in battlefield.In this paper,a real-time UAV aerial image stitching algorithm based on predicted region matching is proposed.A new matching strategy is applied to the feature matching step.The transformation matrix will be calculated by the matches between features in current image and features in a predicted region.Experimental results show that,comparing with traditional method,the new algorithm can reduce much stitching errors while keeping the process time almost the same.

关键词： real-time stitching predicted region UAV aerial image

作者: Peng Xiong Xianpeng Liu Chao Gao Zan Zhou Chunxiao Gao Qiongxin Liu

作者单位: School of Computer Science Beijing Institute of Technology Beijing,China

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 1614-1617

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）