A genetic algorithm for face fitting
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Accurate estimation of the shape of human faces has many applications from computer-imaging to psychological research. One well known method is to fit a Three Dimensional Morphable Model to a target image. This method is attractive as the faces it constructs are already projected onto an orthogonal basis making further manipulation and analysis easier. So far its use in these fields has been limited the inaccuracy and inconvenience of current face-fitting methods. We present a method based on Genetic Algorithms that avoid the local minima and gradient image errors that current methods suffer from. It has the added advantage of requiring no manual interaction to initialise or guide the fitting process.
Hunter , D W , Tiddeman , B P & Perrett , D I 2012 , ' A genetic algorithm for face fitting ' Paper presented at GRAPP - International Conference on Computer Graphics Theory and Applications , Rome, Italy , United Kingdom , 24/02/12 - 26/02/12 , pp. 115-120 . https://doi.org/10.5220/0003816101150120conference
©2012. SCITEPRESS Lda. This is the accepted manuscript of a Conference Paper originally submitted to the International Conference on Computer Graphics Theory and Applications (GRAPP 2012) available from http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0003816101150120
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