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Measuring Facial Emotional Expressions Using Genetic Programming

by A. Loizides ,  M. Slater ,  W. B. Langdon
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Abstract:

Genetic Programming techniques can be used to produce regression equations that quantify emotional expressions on a facial model. The formulae give emotional scores based on the position of 25 automatically generated "landmarks" on the face. The method shown here is an integrated part of a system that maps multidimensional data sets to naturalistic visual structures such as a face. 1

Citations

1921 Genetic Programming I : On the Programming of Computers by Means of Natural Selection – Koza - 1992
25 The argument and evidence about universals in facial expressions of emotion – Ekman - 1989
1 The empathic visualisation algorithm, chernoff faces revisited – Loizides, Slater