在之前的研究中提出了一种高精度的多视频时空配准方法,该方法将Caspi等人提出的多视频配准算法与基于静态图像的配准算法有效地进行了结合.但在结合的同时,如何选取静态图像配准算法是需要考虑的问题.本文对两类主要的静态图像配准方法进行了理论分析与实验比较,提出了在我们的多视频时空配准方法中使用基于特征的静态图像配准算法的思路.实验结果验证了本文思路的合理性.
There was a high precise space-time alignment method for multiple video sequences by combining Caspi's multiple videos alignment method with image registration algorithms have been proposed by us in previous researches. But in this situation, we must consider how to select an effective image registration algorithm in the combinational method. In this paper, we analyze the theories of two main kinds of image registration algorithm and decide to use feature-based image registration in our multiple videos alignment. Experimental results show the reasonableness of our choice.