IEEE Trans Cybern. 2016 Feb;46(2):401-9. doi: 10.1109/TCYB.2015.2411432. Epub 2015 Mar 31.
In this paper, we present an application of symbolic data processing for the design of virtual character's smiling facial expressions. A collected database of virtual character's smiles directly created by users has been explored using symbolic data analysis methods. An unsupervised analysis has enabled us to identify the morphological and dynamic characteristics of different types of smiles as well as of combinations of smiles. Based on the symbolic data analysis, to generate different smiling faces, we have developed procedures to automatically reconstitute smiling virtual faces from a point in a multidimensional space corresponding to a principal component analysis plane.
本文提出了一种符号数据分析方法在设计虚拟角色微笑表情中的应用。通过使用符号数据分析方法,对用户直接创建的虚拟角色微笑的数据库进行了探索。通过无监督分析,我们能够识别不同类型的微笑以及微笑组合的形态和动态特征。基于符号数据分析,为了生成不同的微笑表情,我们开发了一些程序,这些程序可以从对应于主成分分析平面的多维空间中的一个点自动重建微笑的虚拟人脸。