CASIA OpenIR  > 智能感知与计算研究中心
Optimized 3D Lighting Environment Estimation for Image Forgery Detection
Peng, Bo1,2,3; Wang, Wei1; Dong, Jing1,4; Tan, Tieniu1
Source PublicationIEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
2017-02-01
Volume12Issue:2Pages:479-494
SubtypeArticle
Abstract

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.

KeywordImage Forensics Composite Detection Human Faces Lighting Estimation
WOS HeadingsScience & Technology ; Technology
DOI10.1109/TIFS.2016.2623589
WOS KeywordFACE RECOGNITION ; MORPHABLE MODEL ; ILLUMINATION ; REFLECTANCE ; SHAPE
Indexed BySCI
Language英语
Funding OrganizationBeijing Natural Science Foundation(4164102) ; National Natural Science Foundation of China(61502496 ; 61303262 ; U1536120)
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS IDWOS:000389350600018
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13373
Collection智能感知与计算研究中心
Corresponding AuthorWang, Wei
Affiliation1.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
Recommended Citation
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.
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