中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A face recognition algorithm based on global and local feature fusion

文献类型:期刊论文

作者Yi YH(易轶虎); Qu DK(曲道奎); Xu F(徐方)
刊名Journal of Information and Computational Science
出版日期2010
卷号7期号:2页码:593-600
关键词Face Recognition LDA Gabor Wavelet Adaptively Weighted Map Bayesian Rule
ISSN号1548-7741
产权排序1
通讯作者易轶虎
中文摘要Numerous studies in psychophysics and neurophysiological literatures have shown that both local and global features are important for representing and recognizing face. In this paper, we propose an noval face representation and recognition approach which combining global and local discriminative features efficiently. In our method, global features are extracted from whole face images by LDA and local features are extracted by Gabor wavelet transform and weighted according to importance of local region. We generate two classifiers by taking full advantage of bayesian rule, all these classifiers are combined to form a hierarchical ensemble. We evaluated the proposed method compared with other classical algorithms. Experiments on the IMDB databases show that our method achieves satisfactory performance not only under the conditions of varied facial expression and lighting configuration but also under the conditions where the pose and sample size are varied.
收录类别EI
语种英语
源URL[http://ir.sia.cn/handle/173321/19905]  
专题沈阳自动化研究所_其他
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GB/T 7714
Yi YH,Qu DK,Xu F. A face recognition algorithm based on global and local feature fusion[J]. Journal of Information and Computational Science,2010,7(2):593-600.
APA Yi YH,Qu DK,&Xu F.(2010).A face recognition algorithm based on global and local feature fusion.Journal of Information and Computational Science,7(2),593-600.
MLA Yi YH,et al."A face recognition algorithm based on global and local feature fusion".Journal of Information and Computational Science 7.2(2010):593-600.

入库方式: OAI收割

来源:沈阳自动化研究所

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