Title :
Exposing digital image forgeries by detecting inconsistencies in principal point
Author :
Hu, Jing ; Li, Yezhou ; Niu, Shaozhang ; Meng, Xianzhe
Author_Institution :
Sch. of Sci., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
The compositing of two or more objects into a single image is a common form of manipulation. We describe how such composites can be detected by estimating a camera´s intrinsic parameters from the image of target objects. Differences in these parameters across the image are used as evidence of tampering.
Keywords :
cameras; computer forensics; object detection; parameter estimation; camera intrinsic parameter estimation; digital image forgery; object detection; principal point inconsistency detection; tampering evidence; Calibration; Cameras; Conferences; Equations; Forgery; Mathematical model; Shape; camera calibration; digital tampering; forensics;
Conference_Titel :
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9762-1
DOI :
10.1109/CSSS.2011.5974401
