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 :
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