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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.
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Ochs et al. (2015) studied this question.
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