DocumentCode :
3484419
Title :
Asymmetric 3D/2D face recognition based on LBP facial representation and canonical correlation analysis
Author :
Huang, Di ; Ardabilian, Mohsen ; Wang, Yunhong ; Chen, Liming
Author_Institution :
MI Dept., Ecole Centrale de Lyon, Lyon, France
fYear :
2009
fDate :
7-10 Nov. 2009
Firstpage :
3325
Lastpage :
3328
Abstract :
In the recent years, 3D face recognition has emerged as a major solution to deal with the unsolved issues for reliable 2D face recognition, i.e. lighting condition and viewpoint variations. However, 3D method is currently limited by its registration and computation cost. In this paper, we propose to investigate a solution named asymmetric face recognition scheme, enrolling people in 3D environment but performing identification in 2D. The goal is to limit the use of 3D data to where it really helps to improve recognition performances. In our approach, local binary patterns (LBP) is used as an efficient facial representation for both 2D texture images and 3D range images. A weighted Chi square distance is used as matching score between the 2D LBP facial representations; canonical correlation analysis (CCA) is applied to learn the mapping between LBP-based range face images (3D) and LBP facial texture images (2D). Both matching scores are further fused to obtain the final result. Compared with the traditional 2D/2D algorithms, the proposed asymmetric face recognition scheme achieves better accuracy; while avoiding the high cost of data acquisition and computation in 3D/3D approaches.
Keywords :
face recognition; image matching; image registration; image representation; image texture; learning (artificial intelligence); principal component analysis; 3D range images; LBP facial representation; LBP facial texture images; LBP-based range face images; asymmetric 3D-2D face recognition; canonical correlation analysis; data acquisition; image matching scores; image registration; local binary patterns; weighted Chi square distance; Biometrics; Computational efficiency; Face detection; Face recognition; Image analysis; Image texture analysis; Laboratories; Lighting; Pattern matching; Probes; Canonical Correlation Analysis (CCA); Face recognition; Local Binary Patterns (LBP); asymmetric face recognition; face matching and fusion scheme;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
ISSN :
1522-4880
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2009.5413901
Filename :
5413901
Link To Document :
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