This paper describes a pipeline built with open source tools for interpolating 3D facial expressions taken from images. The presented approach allows anyone to create 3D face animations from 2 input photos: one from the start face expression, and the other from the final face expression. Given the input photos, corresponding 3D face models are constructed and texture-mapped using the photos as textures aligned with facial features. Animations are then generated by morphing the models by interpolation of the geometries and textures of the models. This work was performed as a MS project at the University of California, Merced.

翻译：本文描述用开放源码工具建造的管道,用于对取自图像的 3D 面部表达式进行内插。 展示的方法允许任何人从2张输入照片中创建 3D 面部动画: 一张来自初始面部表达式, 另一张来自最后面部表达式。 根据输入照片, 将相应的 3D 面部模型建构, 并用这些照片作为与面部特征相一致的纹理来绘制纹理。 然后通过对模型的几何和纹理进行内插来改变模型的动画。 这项工作是在加利福尼亚大学 Merced 的MS 项目中完成的 。