Optimized 3D Lighting Environment Estimation for Image Forgery Detection
文献类型:期刊论文
作者 | Peng, Bo1,2,3; Wang, Wei1; Dong, Jing1,4; Tan, Tieniu1 |
刊名 | IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY |
出版日期 | 2017-02-01 |
卷号 | 12期号:2页码:479-494 |
关键词 | Image Forensics Composite Detection Human Faces Lighting Estimation |
DOI | 10.1109/TIFS.2016.2623589 |
文献子类 | Article |
英文摘要 | Image forgery is becoming a growing threat to information credibility. Among all kinds of image forgeries, photographic composites of human faces have very serious impacts. To combat this kind of forgery, some forensic methods propose to estimate the 3D lighting environments from different faces and investigate the consistency between them. Although they are very effective, existing 3D lighting-based forensic methods are limited by many simplifying assumptions about the surface reflection model, among which convexity and constant reflectance are two critical ones. In this paper, we propose an optimized 3D lighting estimation method by incorporating a more general surface reflection model. In this model, we relax the convexity and constant reflectance assumptions by taking the occlusion geometry and surface texture information into consideration. The proposed reflection model is more general and accurate; hence, it can achieve better lighting estimation accuracy and more reliable discrimination performance. Comprehensive experiments on both synthetic and real data sets validate the correctness and efficacy of the proposed method. Comparisons with two existing 3D lighting-based forensic methods also demonstrate the superiority of the proposed method for detecting face splicing. |
WOS关键词 | FACE RECOGNITION ; MORPHABLE MODEL ; ILLUMINATION ; REFLECTANCE ; SHAPE |
WOS研究方向 | Computer Science ; Engineering |
语种 | 英语 |
WOS记录号 | WOS:000389350600018 |
资助机构 | Beijing Natural Science Foundation(4164102) ; National Natural Science Foundation of China(61502496 ; 61303262 ; U1536120) |
源URL | [http://ir.ia.ac.cn/handle/173211/13373] |
专题 | 自动化研究所_智能感知与计算研究中心 |
通讯作者 | Wang, Wei |
作者单位 | 1.Chinese Acad Sci, Natl Lab Pattern Recognit, Ctr Res Intelligent Percept & Comp, Inst Automat, Beijing 100190, Peoples R China 2.State Key Lab Cryptol, Beijing 100878, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Inst Informat Engn, State Key Lab Informat Secur, Beijing 100093, Peoples R China |
推荐引用方式 GB/T 7714 | Peng, Bo,Wang, Wei,Dong, Jing,et al. Optimized 3D Lighting Environment Estimation for Image Forgery Detection[J]. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY,2017,12(2):479-494. |
APA | Peng, Bo,Wang, Wei,Dong, Jing,&Tan, Tieniu.(2017).Optimized 3D Lighting Environment Estimation for Image Forgery Detection.IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY,12(2),479-494. |
MLA | Peng, Bo,et al."Optimized 3D Lighting Environment Estimation for Image Forgery Detection".IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 12.2(2017):479-494. |
入库方式: OAI收割
来源:自动化研究所
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