Measuring Facial Emotional Expressions Using Genetic Programming
by
A. Loizides
,
M. Slater
,
W. B. Langdon
Add To MetaCart
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 |

