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A genetic algorithm for face fitting

Research output: Contribution to conferencePaperpeer-review

Abstract

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.
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Details

Original languageEnglish
Pages115-120
Number of pages6
DOIs
Publication statusPublished - Feb 2012
EventGRAPP - International Conference on Computer Graphics Theory and Applications - Rome, Italy, United Kingdom
Duration: 24 Feb 201226 Feb 2012

Conference

ConferenceGRAPP - International Conference on Computer Graphics Theory and Applications
CountryUnited Kingdom
CityRome, Italy
Period24/02/1226/02/12

    Research areas

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

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