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
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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 |
推荐引用方式 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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