基于特征的三维移动平滑变形

数字图象变形是图象处理领域中的一个热点，具有较大的实用价值。通过对基于特征变形算法的分析，在三维体素数据模型上，提出了一种基于特征的散乱点三维变形算法。在算法中首先采用移动平滑插值函数实现对变形扭曲的拟合，其次采用融合等方法提高变形的精度和效果，最后通过试验表明该算法是可行的。该算法不但可以实现三维变形，而且可以用于二维影像的处理。

Feature-Based Three Dimensional Smooth Morphing

Image metamorphosis or image morphing, used for creating a smooth transition between two images, is a hotspot in the field of image processing. At present, the morphing processing focuses on two dimensional images. With more and more images generated from three dimensional models, extending the morphing techniques to three dimensional models is attracting more attention. In this paper, based on the analyses of feature based metamorphosis, considering three dimensional data model, we put forward an algorithm on feature based three dimensional morphing to deal with scatting data. In the algorithm, firstly shifting smooth interpolation is used to simulate the warp, then blending method is used to improve the precision and effect of morphing. The implementation shows that the method is reliable. The method is available for not only three dimensional, but also two dimensional image morphing.