DocumentCode
2590410
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.
Volume
1
fYear
0
fDate
0-0 0
Firstpage
231
Lastpage
234
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location
Hong Kong
ISSN
1051-4651
Print_ISBN
0-7695-2521-0
Type
conf
DOI
10.1109/ICPR.2006.175
Filename
1698875
Link To Document