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.

中文翻译：

---

为 3D 面插值组装管道

本文描述了一个使用开源工具构建的管道，用于插入从图像中获取的 3D 面部表情。所提出的方法允许任何人从 2 张输入照片创建 3D 面部动画：一张来自起始面部表情，另一张来自最终面部表情。给定输入照片，构建相应的 3D 面部模型并使用照片作为与面部特征对齐的纹理进行纹理映射。然后通过模型的几何形状和纹理的插值变形模型来生成动画。这项工作是作为一个 MS 项目在加州大学默塞德分校进行的。