摘要： 为了估计与补偿图像快速全局运动,研究了一种基于层次模型的处理方法,即首先把原始图像序列用亚采样的办法划分成具有金字塔式分辨率的多个子图像,使得每一个子图像运动相对小些,然后在每一个子图像中估计出传感器或摄像机的运动模型参数。通过对所有子图像的运动参数进行加权运算,得到原图像的运动参数。在估计传感器运动模型参数时,采用了回归技术:它首先估计局部运动,然后在最小二乘估计意义下,用局部信息来估计全局运动。在估计局部运动时,为去除奇异点,提出了一种叠代排除法。这种技术具有计算量少、实现简单、性能可靠等优点。

关键词: 全局运动, 鲁棒估计, 叠代排除, 图像序列

Abstract: Global motion caused by camera vibration is quite common in image sequence. It can be modeled by a few parameters and can be estimated using regression technique which first estimates the local motion and then uses the local information to find the global motion that minimize the least square error. Then the global motion is compensated using these parameters. Refinements are carried out during the estimation inner process based on iterative elimination of singular values which introduces the bias to the estimated parameters. In order to compensate efficiently the larger image motions, the hierarchical process is introduced. The basic idea of hierarchical processing is to form a pyramid of image sequences so that on each pyramid level the motion is small enough to be estimated and the motion on the original data can be calculated as a weighted sum of results on all levels. Theoretical analysis of the technique’s performance and experimental results are also given.

中图分类号: 

• TP391.41