Semi-supervised discriminant analysis method for face recognition | |
Wen-Sheng Chen1; Xiuli Dai1; Binbin Pan1; Yuan Yan Tang2 | |
2015-11-01 | |
Source Publication | International Journal of Wavelets, Multiresolution and Information Processing
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ISSN | 0219-6913 |
Volume | 13Issue:6 |
Abstract | In face recognition (FR), a lot of algorithms just utilize one single type of facial features namely global feature or local feature, and cannot obtain better performance under the complicated variations of the facial images. To extract robust facial features, this paper proposes a novel Semi-Supervised Discriminant Analysis (SSDA) criterion via nonlinearly combining the global feature and local feature. To further enhance the discriminant power of SSDA features, the geometric distribution weight information of the training data is also incorporated into the proposed criterion. We use SSDA criterion to design an iterative algorithm which can determine the combination parameters and the optimal projection matrix automatically. Moreover, the combination parameters are guaranteed to fall into the interval [0, 1]. The proposed SSDA method is evaluated on the ORL, FERET and CMU PIE face databases. The experimental results demonstrate that our method achieves superior performance. |
Keyword | Face Recognition Global Feature Local Feature Semi-supervised Learning |
DOI | https://doi.org/10.1142/S0219691315500496 |
URL | View the original |
Indexed By | SCI |
Language | 英语 |
WOS Research Area | Computer Science ; Mathematics |
WOS Subject | Computer Science, Software Engineering ; Mathematics, Interdisciplinary Applications |
WOS ID | WOS:000367521500008 |
Publisher | WORLD SCIENTIFIC PUBL CO PTE LTD, 5 TOH TUCK LINK, SINGAPORE 596224, SINGAPORE |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | University of Macau |
Corresponding Author | Wen-Sheng Chen; Binbin Pan; Yuan Yan Tang |
Affiliation | 1.College of Mathematics and Statistics, Shenzhen Key Laboratory of Media Security, Research Center of Intelligent Analysis and Processing for HD Video, Shenzhen University, Shenzhen 518060, P. R. China 2.Department of Computer and Information Science University of Macau, Macau, P. R. China |
Corresponding Author Affilication | University of Macau |
Recommended Citation GB/T 7714 | Wen-Sheng Chen,Xiuli Dai,Binbin Pan,et al. Semi-supervised discriminant analysis method for face recognition[J]. International Journal of Wavelets, Multiresolution and Information Processing,2015,13(6). |
APA | Wen-Sheng Chen,Xiuli Dai,Binbin Pan,&Yuan Yan Tang.(2015).Semi-supervised discriminant analysis method for face recognition.International Journal of Wavelets, Multiresolution and Information Processing,13(6). |
MLA | Wen-Sheng Chen,et al."Semi-supervised discriminant analysis method for face recognition".International Journal of Wavelets, Multiresolution and Information Processing 13.6(2015). |
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