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题名:
Face Recognition and Micro-expression Recognition Based on Discriminant Tensor Subspace Analysis Plus Extreme Learning Machine
作者: Wang, Su-Jing1,2; Chen, Hui-Ling3; Yan, Wen-Jing1; Chen, Yu-Hsin1; Fu Xiaolan(傅小兰)1
文章类型: Article
关键词: Face recognition ; Micro-expression recognition ; Locality preserving projection ; Discriminant information ; Tensor subspace ; Extreme learning machine
刊名: NEURAL PROCESSING LETTERS
ISSN号: 1370-4621
出版日期: 2014-02-01
卷号: 39, 期号:1, 页码:25-43
收录类别: SCI
英文摘要: In this paper, a novel recognition algorithm based on discriminant tensor subspace analysis (DTSA) and extreme learning machine (ELM) is introduced. DTSA treats a gray facial image as a second order tensor and adopts two-sided transformations to reduce dimensionality. One of the many advantages of DTSA is its ability to preserve the spatial structure information of the images. In order to deal with micro-expression video clips, we extend DTSA to a high-order tensor. Discriminative features are generated using DTSA to further enhance the classification performance of ELM classifier. Another notable contribution of the proposed method includes significant improvements in face and micro-expression recognition accuracy. The experimental results on the ORL, Yale, YaleB facial databases and CASME micro-expression database show the effectiveness of the proposed method.
语种: 英语
WOS记录号: WOS:000329633000002
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.psych.ac.cn/handle/311026/14195
Appears in Collections:脑与认知科学国家重点实验室_期刊论文

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作者单位: 1.Chinese Acad Sci, Inst Psychol, State Key Lab Brain & Cognit Sci, Beijing 100101, Peoples R China
2.Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Peoples R China
3.Wenzhou Univ, Coll Phys & Elect Informat, Wenzhou 325035, Zhejiang, Peoples R China

Recommended Citation:
Wang, Su-Jing,Chen, Hui-Ling,Yan, Wen-Jing,et al. Face Recognition and Micro-expression Recognition Based on Discriminant Tensor Subspace Analysis Plus Extreme Learning Machine[J]. NEURAL PROCESSING LETTERS,2014,39(1):25-43.
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