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18th International Conference on Pattern Recognition (ICPR'06) Volume 1
A Simple Coupled Statistical Model for 3D Face Shape Recovery
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
Mario Castelan, University of York, UK
Edwin R. Hancock, University of York, UK
We focus on the problem of developing coupled statistical models that can be used to recover surface height from brightness images of faces. Our approach consists on using a simple model that assumes that the height eigenmodes are identical to the intensity eigenmodes. We recover the height function directly from the best-fit intensity parameters. As a result the computations involve only a straightforward matrix-vector multiplication. Experiments show that this method generate accurate height surfaces from out-of training intensity images.
Citation:
Mario Castelan, Edwin R. Hancock, "A Simple Coupled Statistical Model for 3D Face Shape Recovery," icpr, vol. 1, pp.231-234, 18th International Conference on Pattern Recognition (ICPR'06) Volume 1, 2006
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