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

• Type: Journal
• Year: 2006
• Where: JCST
• Authors: Xin Geng, Zhi-Hua Zhou
• Keywords: Face Recognition, JCST 2006, Multiple Eigenspaces, Selective Ensemble