Subspace label propagation and regularized discriminant analysis based single labeled image person face recognition

被引：0

作者：

Yin, Fei ^{[1
]}

Jiao, Li-Cheng ^{[1
]}

Yang, Shu-Yuan ^{[1
]}

机构：

[1] Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University

来源：

Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2014年 / 36卷 / 03期

关键词：

Face recognition; Label propagation; Regularized discriminant analysis; Semisupervised dimensionality reduction; Subspace assumption;

D O I：

10.3724/SP.J.1146.2013.00554

中图分类号：

学科分类号：

摘要：

To tackle the problem of single labeled image person face recognition, a subspace label propagation and regularized discriminant analysis based semi-supervised dimensionality reduction method is proposed in this paper. First, a label propagation method based on subspace assumption is designed to propagate the label information from labeled data to unlabeled data. Then, based on the propagated labeled dataset, regularized discriminant analysis is used to conduct dimensionality reduction. Finally, the recognition of testing face is completed in low dimensional space using nearest neighbor classifier. The extensive experiments on three publicly available face databases CMU PIE, Extended Yale B, and AR validate the feasibility and effectiveness of the proposed method.

引用

页码：610 / 616

页数：6

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