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 |
DOI | 10.1109/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
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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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