Knowledge Commons of Institute of Automation,CAS
Gabor feature selection for face recognition using improved AdaBoost learning | |
Shen, LL; Bai, L; Bardsley, D; Wang, YS; Li, SZ; Sun, Z; Tan, T; Pankanti, S; Chollet, G; Zhang, D | |
发表期刊 | ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS |
2005 | |
卷号 | 3781页码:39-49 |
文章类型 | Article |
摘要 | Though AdaBoost has been widely used for feature selection and classifier learning, many of the selected features, or weak classifiers, are redundant. By incorporating mutual information into AdaBoost, we propose an improved boosting algorithm in this paper. The proposed method fully examines the redundancy between candidate classifiers and selected classifiers. The classifiers thus selected are both accurate and non-redundant. Experimental results show that the strong classifier learned using the proposed algorithm achieves a lower training error rate than AdaBoost. The proposed algorithm has also been applied to select discriminative Gabor features for face recognition. Even with the simple correlation distance measure and 1-NN classifier, the selected Gabor features achieve quite high recognition accuracy on the FERET database, where both expression and illumination variance exists. When only 140 features are used, the selected features achieve as high as 95.5% accuracy, which is about 2.5% higher than that of features selected by AdaBoost. |
WOS标题词 | Science & Technology ; Technology |
关键词[WOS] | INVARIANT OBJECT RECOGNITION ; ALGORITHMS ; SPACE |
收录类别 | ISTP ; SCI |
语种 | 英语 |
WOS研究方向 | Computer Science ; Imaging Science & Photographic Technology |
WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods ; Imaging Science & Photographic Technology |
WOS记录号 | WOS:000233430300006 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/9161 |
专题 | 09年以前成果 |
作者单位 | 1.Univ Nottingham, Sch Comp Sci & IT, Nottingham NG7 2RD, England 2.Chinese Acad Sci, Inst Automat, Beijing 100864, Peoples R China |
推荐引用方式 GB/T 7714 | Shen, LL,Bai, L,Bardsley, D,et al. Gabor feature selection for face recognition using improved AdaBoost learning[J]. ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS,2005,3781:39-49. |
APA | Shen, LL.,Bai, L.,Bardsley, D.,Wang, YS.,Li, SZ.,...&Zhang, D.(2005).Gabor feature selection for face recognition using improved AdaBoost learning.ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS,3781,39-49. |
MLA | Shen, LL,et al."Gabor feature selection for face recognition using improved AdaBoost learning".ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS 3781(2005):39-49. |
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