Generation of Facial Expression Map using Supervised and Unsupervised Learning
Masaki Ishii, Kazuhito Sato, Hirokazu Madokoro, Makoto Nishida · BiblioBoard Library Catalog (Open Research Library) · 2009
On the assumption that facial expression is a problem of classification into an unknown number of categories, this chapter describes an investigation of a generation method of a person-specific FEMap. The essential results obtained in this study are the following. Hierarchical use of SOM with a narrow mapping space enables extraction of person-specific facial expression categories and representative images for each category. Psychological significance is assigned to every category obtained with the binary-tree structure in this study. The operator might also give special importance to categories selected according to personal subjectivity. Moreover, intentional further hierarchization of a binary-tree structure permits the additional subdivision of facial expression categorization.