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
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