CASIA OpenIR
Robust face anti-spoofing with depth information
Wang, Yan1; Nian, Fudong1; Li, Teng1; Meng, Zhijun2; Wang, Kongqiao3
Source PublicationJOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
ISSN1047-3203
2017-11-01
Volume49Pages:332-337
Corresponding AuthorMeng, Zhijun(mzj.beihang@gmail.com)
AbstractWith 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.
KeywordFace anti-spoofing Depth information Convolutional neural network
DOI10.1016/j.jvcir.2017.09.002
WOS KeywordLIVENESS DETECTION ; IMAGES
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation (NSF) of China[61572029] ; Science and Technology Project of Anhui Province[1604d0802019]
Funding OrganizationNational Natural Science Foundation (NSF) of China ; Science and Technology Project of Anhui Province
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering
WOS IDWOS:000416613800027
PublisherACADEMIC PRESS INC ELSEVIER SCIENCE
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/28204
Collection中国科学院自动化研究所
Corresponding AuthorMeng, Zhijun
Affiliation1.Anhui Univ, Minist Educ, Key Lab Intelligent Comp & Signal Proc, Hefei 230601, Anhui, Peoples R China
2.Beihang Univ, Beijing, Peoples R China
3.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
Recommended Citation
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.
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