A genetic algorithm for face fitting

David William Hunter, Bernard Paul Tiddeman, David Ian Perrett

Research output: Contribution to conferencePaperpeer-review


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.
Original languageEnglish
Number of pages6
Publication statusPublished - Feb 2012
EventGRAPP - International Conference on Computer Graphics Theory and Applications - Rome, Italy, United Kingdom
Duration: 24 Feb 201226 Feb 2012


ConferenceGRAPP - International Conference on Computer Graphics Theory and Applications
Country/TerritoryUnited Kingdom
CityRome, Italy


  • Genetic algorithm
  • Face recognition models
  • Three dimensional morphable models


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