Improved 3D Lighting Environment Estimation for Image Forgery Detection
文献类型：会议论文
| 作者 | Peng, Bo ; Wang, Wei; Dong, Jing; Tan, Tieniu; Wei Wang
|
| 出版日期 | 2016 |
| 会议日期 | November, 2015 |
| 会议地点 | Rome, Italy |
| 关键词 | Image Forensics Human Faces Lighting Estimation Assumption Relaxation |
| 页码 | 1-6 |
| 英文摘要 | 3D 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. |
| 会议录 | Proceedings of IEEE International Workshop on Information Forensics and Security
 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/12303]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 通讯作者 | Wei Wang |
| 作者单位 | Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences |
| 推荐引用方式 GB/T 7714 | Peng, Bo,Wang, Wei,Dong, Jing,et al. Improved 3D Lighting Environment Estimation for Image Forgery Detection[C]. 见:. Rome, Italy. November, 2015. |
入库方式： OAI收割
来源：自动化研究所
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