A Genetic Algorithm for Face Fitting

David Hunter, Bernie Tiddeman, David I. Perrett

Research output: Contribution to conferencePaperpeer-review


Accurate estimation of the shape of human faces has many applications from the movie industry 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. To date use of Morphable Models have been limited by 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.
Original languageEnglish
Number of pages6
Publication statusPublished - 2012
EventInternational Conference on Computer Graphics Theory and Applications (GRAPP 2012) - Rome, Italy
Duration: 24 Feb 201226 Feb 2012


ConferenceInternational Conference on Computer Graphics Theory and Applications (GRAPP 2012)
Period24 Feb 201226 Feb 2012


  • Genetic Algorithms
  • Face Fitting;
  • Three Dimensional Morphable Models


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