From the Symbolic Analysis of Virtual Faces to a Smiles Machine
Résumé
Abstract—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 (PCA) plane.
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