| 1. FARID H. Image forgery detection -- A survey. Signal Processing Magazine, IEEE, 2009, 26(2): 16-25
2. POPESCU A C, FARID H. Exposing digital forgeries by detecting duplicated image regions. Dept Comput Sci, Dartmouth College, Tech Rep TR2004-515, 2004, 11p
3. POPESCU A C, FARID H. Exposing digital forgeries by detecting traces of resampling. Signal Processing, IEEE Transactions on, 2005, 53(2): 758-767
4. LUK Š J, FRIDRICH J. Estimation of primary quantization matrix in double compressed JPEG images. proceedings of the Proc Digital Forensic Research Workshop, F, 2003, 17p
5. PEVNY T, FRIDRICH J. Detection of double-compression in JPEG images for applications in steganography. Information Forensics and Security, IEEE Transactions on, 2008, 3(2): 247-258
6. GLOE T, BOROWKA K, WINKLER A. Efficient estimation and large-scale evaluation of lateral chromatic aberration for digital image forensics. proceedings of the IS&T/SPIE Electronic Imaging, International Society for Optics and Photonics, 2010: 754107/1-13
7. KIRCHNER M. Efficient estimation of CFA pattern configuration in digital camera images. proceedings of the IS&T/SPIE Electronic Imaging, International Society for Optics and Photonics, 2010: 754111/1-12
8. HSU Y-F, CHANG S-F. Image splicing detection using camera response function consistency and automatic segmentation. proceedings of the Multimedia and Expo, IEEE International Conference on, 2007: 28-31
9. LI C T. Source camera identification using enhanced sensor pattern noise. Information Forensics and Security, IEEE Transactions on, 2010, 5(2): 280-287
10. JOHNSON M K, FARID H. Exposing digital forgeries in complex lighting environments. IEEE Transactions on Information Forensics and Security, 2007, 2(3): 450-461
11. KEE E, FARID H. Exposing digital forgeries from 3-D lighting environments. proceedings of the Information Forensics and Security (WIFS), IEEE International Workshop on, 2010: 1-6
12. FARID H, BRAVO M. Image forensic analyses that elude the human visual system. proceedings of the SPIE Symposium on Electronic Imaging, F, 2010: 754106-754106-10
13. O'BRIEN J F, FARID H. Exposing Photo Manipulation with Inconsistent Reflections. ACM Trans Graph, 2012, 31(1): 1-11
14. MENG X Z, NIU S Z, YAN R, et al. Detecting photographic cropping based on vanishing points. Chinese Journal of Electronics, 2013, 22(2): 369-372
15. XU Y, OH S, HOOGS A. A minimum error vanishing point detection approach for uncalibrated monocular images of man-made environments. proceedings of the Computer Vision and Pattern Recognition (CVPR), IEEE Conference on, 2013: 23-28
16. BAZIN J C, YONGDUEK S, DEMONCEAUX C, et al. Globally optimal line clustering and vanishing point estimation in Manhattan world. proceedings of the Computer Vision and Pattern Recognition (CVPR), IEEE Conference on, 2012: 16-21
17. YAO H, WANG S Z, ZHAO Y, et al. Detecting image forgery using perspective constraints. Signal Processing Letters, IEEE, 2012, 19(3): 123-126
18. HARTLEY R, ZISSERMAN A. Multiple view geometry in computer vision. Cambridge Univ Press, 2004
19. CANNY J. A computational approach to edge detection. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 1986, (6): 679-698
20. BALLARD D H. Generalizing the Hough transform to detect arbitrary shapes. Pattern Recognition, 1981, 13(2): 111-122
21. LIEBOWITZ D, ZISSERMAN A. Metric rectification for perspective images of planes. proceedings of the Computer Vision and Pattern Recognition, 1998 Proceedings, IEEE Computer Society Conference on, 1998 :482-488
22. GAVIN H. The Levenberg-Marquardt method for nonlinear least squares curve-fitting problems. Environmental Engineering, 2010: 1-15
23. DENIS P, ELDER J H, ESTRADA F J. Efficient edge-based methods for estimating manhattan frames in urban imagery. Berlin Heidelberg: Springer, 2008: 197-210
|
