中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Face recognition based on convolution siamese networks

文献类型:会议论文

作者Wu, Haoran; Xu, Zhiyong; Zhang, Jianlin; Yan, Wei; Ma, Xiao
出版日期2018-02-22
会议日期October 14, 2017 - October 16, 2017
会议地点Shanghai, China
关键词Biomedical engineering Convolution Deep learning
DOI10.1109/CISP-BMEI.2017.8302003
页码1-5
英文摘要In this paper, we use convolutional siamese networks for face recognition. Face recognition is one of the non-contact biometrics and widely applied in many circumstances. As the advent of artificial intelligence era, the demands on accuracy and robustness get greater and greater at present. Due to its low accuracy and restrictions in many conditions, it's hard for traditional methods to satisfy the demands. In this paper we propose a new network with convolutional siamese architecture for face recognition. Like some common face recognition systems, we use face detection to get the position of the face in an image. The deep learning methods are used to exploit the feature of the face. We finish the comparison of the detected face and the faces in the database. The experiments demonstrate a very good performance compared to other methods. © 2017 IEEE.
会议录Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017
文献子类C
语种英语
源URL[http://ir.ioe.ac.cn/handle/181551/9124]  
专题光电技术研究所_光电探测与信号处理研究室(五室)
作者单位Institute of Optics and Electronics, Chinese Academy of Sciences, University of the Chinese Academy of Sciences, Chengdu, China
推荐引用方式
GB/T 7714
Wu, Haoran,Xu, Zhiyong,Zhang, Jianlin,et al. Face recognition based on convolution siamese networks[C]. 见:. Shanghai, China. October 14, 2017 - October 16, 2017.

入库方式: OAI收割

来源:光电技术研究所

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