基于特征匹配的亚像素级全景图像配准算法

Sub-pixel image registration algorithm in image panoramic mosaic

为了提高全景图全自动拼接中图像配准的速度和匹配稳健性,提出了一种基于相对距离法去除外点的亚像素级图像配准算法,并给出了分析和实验结果,亚像素级像素定位误差在0.01～0.1之内。在对12组图像匹配的实验结果表明,该匹配算法的匹配正确率达到100%,且匹配的时间小于目前通用的RANSAC匹配算法。

In order to improve the image registration speed and the matching stability,a sub-pixel image registration algorithm based on comparative distance is presented.And also,theoretical deduction and the result of experiments are given.And it has been proved that the algorithm has sub-pixel accuracy,and the precision is between 0.01 and 0.1.The results of matching experiment for 12 couples images have indicated the matching accuracy of presented algorithm has achieved 100%,and the time consumed is less than the RANSAC algorithm which is in common used in present.