AbstractժҪ
In this paper, a new technique for modeling textured 3D faces is introduced. 3D faces can either be generated automatically from one or more photographs, or modeled directly through an intuitive user interface. Users are assisted in two key problems of computer aided face modeling. First, new face images or new 3D face models can be registered automatically by computing dense one-to-one correspondence to an internal face model. Second, the approach regulates the naturalness of modeled faces avoiding faces with an “unlikely” appearance.
本文介绍了一种新的三维纹理人脸建模技术。三维面可以从一张或多张照片自动生成，也可以通过直观的用户界面直接建模。计算机辅助人脸建模的两个关键问题是辅助用户。首先，通过计算与内部人脸模型的密集一一对应关系，可以自动注册新的人脸图像或新的三维人脸模型。其次，该方法规范了模拟人脸的自然性，避免了具有“不太可能”外观的人脸。
Starting from an example set of 3D face models, we derive a morphable face model by transforming the shape and texture of the examples into a vector space representation. New faces and expressions can be modeled by forming linear combinations of the prototypes. Shape and texture constraints derived from the statistics of our example faces are used to guide manual modeling or automated matching algorithms.
从一组三维人脸模型的实例出发，通过将实例的形状和纹理转化为矢量空间表示，得到了一个可变形的人脸模型。新的面和表达式可以通过形成原型的线性组合来建模。从我们的示例面统计信息中导出的形状和纹理约束用于指导手动建模或自动匹配算法。
来源：博客园
作者：2008nmj
链接：https://www.cnblogs.com/2008nmj/p/11701458.html