DocumentCode :
2476994
Title :
Multi-view face recognition by nonlinear tensor decomposition
Author :
Tian, Chunna ; Fan, Guoliang ; Gao, Xinbo
Author_Institution :
Sch. of Electron. Eng., Xidian Univ., Xian, China
fYear :
2008
fDate :
8-11 Dec. 2008
Firstpage :
1
Lastpage :
4
Abstract :
We discuss a new multi-view face recognition method that extends a recently proposed nonlinear tensor decomposition technique. We use this technique to provide a generative face model that can deal with both the linearity and nonlinearity in multi-view face images. Particularly, we study the effectiveness of three kinds of view manifold for multi-view face representation, i.e., the concept-driven, data-driven and hybrid data-concept-driven view manifolds. An EM-like algorithm is developed to estimate the identity and view factors iteratively. The new face generative model can successfully recognize face images captured under unseen views, and the experimental results provide the new method is superior to the traditional TensorFace-based algorithm and the view-based PCA method.
Keywords :
face recognition; image representation; tensors; PCA method; TensorFace-based algorithm; face generative model; multiview face recognition; multiview face representation; nonlinear tensor decomposition; Face recognition; Humans; Image recognition; Independent component analysis; Iterative algorithms; Linearity; Matrix decomposition; Principal component analysis; Tensile stress; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
ISSN :
1051-4651
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
Type :
conf
DOI :
10.1109/ICPR.2008.4761195
Filename :
4761195
Link To Document :
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