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Improved 3D Lighting Environment Estimation for Image Forgery Detection
Peng, Bo; Wang, Wei; Dong, Jing; Tan, Tieniu; Wei Wang
2016
Conference NameIEEE International Workshop on Information Forensics and Security
Source PublicationProceedings of IEEE International Workshop on Information Forensics and Security
Pages1-6
Conference DateNovember, 2015
Conference PlaceRome, Italy
Abstract3D lighting environment is an important clue in an image that can be used for image forgery detection. Existing forensic methods exploring lighting environment consistency are based on many assumptions, among which convexity and constant reflectance of the surface are two critical ones. In this paper, we propose an improved 3D lighting environment estimation method based on a more general surface reflection model. We relax the two assumptions by incorporating the local geometry and texture information into our position dependent reflection model. The proposed model is more realistic for objects like human faces which are non-convex and textured. Experiments show that the proposed method can achieve improved lighting environment estimation accuracy compared to the previous method and has better forgery detection efficacy.
KeywordImage Forensics Human Faces Lighting Estimation Assumption Relaxation
Indexed ByEI
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12303
Collection智能感知与计算研究中心
Corresponding AuthorWei Wang
AffiliationCenter for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Peng, Bo,Wang, Wei,Dong, Jing,et al. Improved 3D Lighting Environment Estimation for Image Forgery Detection[C],2016:1-6.
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