该算法首先分析并提出两幅图像中相应特征点的邻域窗口之间的单应映射可以用仿射变换模型来近似；
Since it was proved that the homography between two windows of corresponding feature can be geometrically approximated by an affine transformation model.
该方法在基于控制点的多项式粗配准的基础上，利用分类图像相关实现了基于仿射变换模型的精配准。
A feature matching (algorithm based) on classification is proposed, which uses the correlation of the classified images to realize a precise registration after a coarse (registration).
利用仿射变换作为变换模型，根据变换参数将输入图像与参考图像进行配准。
The affine transform as a model to register input image and referenced image based on the parameters of transform were used.
首先建立二维真彩ifs分形模型，然后通过仿射变换的对应、规范化、匹配及插值实现了变形过程。
First we construct a model of 2d true-color IFS fractals, then realize the morphing process by affine transformation corresponding, canonizing, matching and interpolation.
首先建立二维真彩ifs分形模型，然后通过仿射变换的对应、规范化、匹配及插值实现了变形过程。
First we construct a model of 2d true-color IFS fractals, then realize the morphing process by affine transformation corresponding, canonizing, matching and interpolation.
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