A Genetic Algorithm for Face Fitting

David Hunter, Bernie Tiddeman, David I. Perrett

Research output: Contribution to conferencePaperpeer-review

Abstract

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
Pages115-120
Number of pages6
DOIs
Publication statusPublished - 2012
EventInternational Conference on Computer Graphics Theory and Applications (GRAPP 2012) - Rome, Italy
Duration: 24 Feb 201226 Feb 2012

Conference

ConferenceInternational Conference on Computer Graphics Theory and Applications (GRAPP 2012)
Country/TerritoryItaly
CityRome
Period24 Feb 201226 Feb 2012

Keywords

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

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