Title :
A Simple Coupled Statistical Model for 3D Face Shape Recovery
Author :
Castelán, Mario ; Hancoc, Edwin R.
Author_Institution :
Dept. of Comput. Sci., York Univ.
Abstract :
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
Keywords :
eigenvalues and eigenfunctions; face recognition; feature extraction; matrix multiplication; statistical analysis; stereo image processing; 3D face shape recovery; face brightness images; height eigenmodes; intensity eigenmodes; matrix-vector multiplication; statistical model; surface height recovery; Active shape model; Brightness; Computational modeling; Computer science; Covariance matrix; Head; Image representation; Mexico Council; Surface fitting; Surface reconstruction;
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2521-0
DOI :
10.1109/ICPR.2006.175