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Pattern Recognition, International Conference on (2006)
Hong Kong
Aug. 20, 2006 to Aug. 24, 2006
ISSN: 1051-4651
ISBN: 0-7695-2521-0
pp: 231-234
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.

M. Castelan and E. R. Hancock, "A Simple Coupled Statistical Model for 3D Face Shape Recovery," 2006 18th International Conference on Pattern Recognition(ICPR), Hong Kong, 2006, pp. 231-234.
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