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
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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 |
DOI | 10.1016/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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