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A genetic algorithm for face fitting

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Date
02/2012
Author
Hunter, David William
Tiddeman, Bernard Paul
Perrett, David Ian
Keywords
Genetic algorithm
Face recognition models
Three dimensional morphable models
QA75 Electronic computers. Computer science
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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.
Citation
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/10.5220/0003816101150120
 
conference
 
Publication
 
Status
Peer reviewed
DOI
https://doi.org/10.5220/0003816101150120
Type
Conference paper
Rights
©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
Collections
  • Centre for Social Learning and Cognitive Evolution Research
  • Institute of Behavioural and Neural Sciences Research
  • Psychology & Neuroscience Research
  • University of St Andrews Research
URI
http://hdl.handle.net/10023/5443

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