Efficient Registration Algorithm for UAV Image Sequence

摘要：

This paper presents a fast and efficient image registration algorithm for UAV image sequence.The proposed algorithm consists of three main steps:feature extraction,feature point tracking,and homography matrix estimation.According to the comparison with different feature points,we choose the KLT feature and track them during the consecutive images.With the correct tracked feature points,the Total Least Squares (TLS)method is used to estimate homography matrix between two consecutive images,and then the multi-view constraint is used to refine the result and reduce the accumulative error in the image sequence.This method is robust and with less iteration times. Experiments on different image sequences indicate that our method has satisfactory image registration results with the average time 0.3s.

作者: Baojie Fan Yingkui Du Yandong Tang

作者单位: State Key Laboratory of Robotics,Shenyang Institute of Automation,Chinese Academy of Science,110016 State Key Laboratory of Robotics,Shenyang Institute of Automation,Chinese Academy of Science, 110016

会议类型: 国际会议

会议名称: 第八届IEEE信息与自动化国际会议(ICIC 2011)

会议地点: 深圳

会议语种:英文

页码: 111-116

在线出版日期: 2011-06-06（万方平台首次上网日期，不代表论文的发表时间）