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
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.175
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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||