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2006
IEEE

Hierarchical Ensemble of Gabor Fisher Classifier for Face Recognition

9 years 12 months ago
Hierarchical Ensemble of Gabor Fisher Classifier for Face Recognition
Gabor feature has been widely recognized as one of the best representations for face recognition. However, traditionally, it has to be reduced in dimension due to curse of dimensionality. In this paper, an Ensemble based Gabor Fisher Classifier (EGFC) method is proposed, which is an ensemble classifier combining multiple Fisher Discriminant Analysis (FDA)-based component classifiers learnt using different segments of the entire Gabor feature. Since every dimension of the entire Gabor feature is exploited by one component FDA classifier, we argue that EGFC makes better use of the discriminability implied in all the Gabor features by avoiding the dimension reduction procedure. In addition, by carefully controlling the dimension of each feature segment, Small Sample Size (3S) problem commonly confronting FDA is artfully avoided. Experimental results on FERET show that the proposed EGFC significantly outperforms the known best results so far. Furthermore, to speed up, hierarchical EGFC (H...
Yu Su, Shiguang Shan, Xilin Chen, Wen Gao
Added 22 Aug 2010
Updated 22 Aug 2010
Type Conference
Year 2006
Where FGR
Authors Yu Su, Shiguang Shan, Xilin Chen, Wen Gao
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