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A Deep Face Recognition Method Based on Model Fine-tuning and Principal Component Analysis
Zhang YA(张延安)1,2; Wang, HY(王宏玉)1,3; Xu F(徐方)1,3; Jia K(贾凯)1,3
Department其他
Conference Name7th IEEE Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017
Conference DateJuly 31 - August 4, 2017
Conference PlaceHawaii, USA
Author of SourceIEEE Robotics and Automation Society
Source Publication2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017
PublisherIEEE
Publication PlaceNew York
2017
Pages141-146
Indexed ByEI ; CPCI(ISTP)
EI Accession number20183905873612
WOS IDWOS:000447628700027
Contribution Rank1
ISBN978-1-5386-0489-2
KeywordFace Recognition Deep Learning Model Fine-tuning Principal Component Analysis Convolutional Neural Networks
Abstract

In this paper, we propose a simple and effective deep face recognition method based on model fine-tuning and principal component analysis. At first, we use our own face dataset to fine tune the improved VGG-Face model. This can effectively solve the problem that the training dataset is too small and the data distribution is different. Through the part of the existing model parameters as the initial parameters of the new model, greatly accelerated the convergence rate of the model training. Then, for the facial features extracted by the deep learning method, we use principal component analysis to further remove redundant features, reduce the complexity of the features, and improve the face recognition rate. The experimental results prove that the proposed approach achieves a good face recognition accuracy on our test dataset.

Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/22821
Collection其他
Corresponding AuthorZhang YA(张延安)
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.University of Chinese Academy of Sciences, Beijing 100049, China
3.Shenyang SIASUN Robot & Automation Co., LTD., China, Shenyang 110168,China
Recommended Citation
GB/T 7714
Zhang YA,Wang, HY,Xu F,et al. A Deep Face Recognition Method Based on Model Fine-tuning and Principal Component Analysis[C]//IEEE Robotics and Automation Society. New York:IEEE,2017:141-146.
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