中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Robust face anti-spoofing with depth information

文献类型:期刊论文

作者Wang, Yan3; Nian, Fudong3; Li, Teng3; Meng, Zhijun2; Wang, Kongqiao1
刊名JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
出版日期2017-11-01
卷号49页码:332-337
关键词Face anti-spoofing Depth information Convolutional neural network
ISSN号1047-3203
DOI10.1016/j.jvcir.2017.09.002
通讯作者Meng, Zhijun(mzj.beihang@gmail.com)
英文摘要With the prevalence of face authentication applications, the prevention of malicious attack from fake faces such as photos or videos, i.e., face anti-spoofing, has attracted much attention recently. However, while an increasing number of works on the face anti-spoofing have been reported based on 2D RGB cameras, most of them cannot handle various attacking methods. In this paper we propose a robust representation jointly modeling 2D textual information and depth information for face anti-spoofing. The textual feature is learned from 2D facial image regions using a convolutional neural network (CNN), and the depth representation is extracted from images captured by a Kinect. A face in front of the camera is classified as live if it is categorized as live using both cues. We collected a face anti-spoofing experimental dataset with depth information, and reported extensive experimental results to validate the robustness of the proposed method. (c) 2017 Elsevier Inc. All rights reserved.
WOS关键词LIVENESS DETECTION ; IMAGES
资助项目National Natural Science Foundation (NSF) of China[61572029] ; Science and Technology Project of Anhui Province[1604d0802019]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000416613800027
出版者ACADEMIC PRESS INC ELSEVIER SCIENCE
资助机构National Natural Science Foundation (NSF) of China ; Science and Technology Project of Anhui Province
源URL[http://ir.ia.ac.cn/handle/173211/28203]  
专题自动化研究所_模式识别国家重点实验室_图像与视频分析团队
通讯作者Meng, Zhijun
作者单位1.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
2.Beihang Univ, Beijing, Peoples R China
3.Anhui Univ, Minist Educ, Key Lab Intelligent Comp & Signal Proc, Hefei 230601, Anhui, Peoples R China
推荐引用方式
GB/T 7714
Wang, Yan,Nian, Fudong,Li, Teng,et al. Robust face anti-spoofing with depth information[J]. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION,2017,49:332-337.
APA Wang, Yan,Nian, Fudong,Li, Teng,Meng, Zhijun,&Wang, Kongqiao.(2017).Robust face anti-spoofing with depth information.JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION,49,332-337.
MLA Wang, Yan,et al."Robust face anti-spoofing with depth information".JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION 49(2017):332-337.

入库方式: OAI收割

来源:自动化研究所

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