Image Region Selection and Ensemble for Face Recognition

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Image Region Selection and Ensemble for Face Recognition
In this paper, a novel framework for face recognition, namely Selective Ensemble of Image Regions (SEIR), is proposed. In this framework, all possible regions in the face image are regarded as a certain kind of features. There are two main steps in SEIR: the first step is to automatically select several regions from all possible candidates; the second step is to construct classifier ensemble from the selected regions. A realization of SEIR based on multiple eigenspaces, namely SEME, is also proposed in this paper. SEME is analyzed and compared with eigenface, PCA + LDA, eigenfeature, and eigenface + eigenfeature through experiments. The experimental results show that SEME achieves the best performance. Keywords Face recognition; Region Selection; Multiple Eigenspaces; Ensemble learning; Selective Ensemble
Xin Geng, Zhi-Hua Zhou
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2006
Where JCST
Authors Xin Geng, Zhi-Hua Zhou
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