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 language | English |
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Pages | 115-120 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 2012 |
Event | International Conference on Computer Graphics Theory and Applications (GRAPP 2012) - Rome, Italy Duration: 24 Feb 2012 → 26 Feb 2012 |
Conference
Conference | International Conference on Computer Graphics Theory and Applications (GRAPP 2012) |
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Country/Territory | Italy |
City | Rome |
Period | 24 Feb 2012 → 26 Feb 2012 |
Keywords
- Genetic Algorithms
- Face Fitting;
- Three Dimensional Morphable Models