A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Metric Rectification for Perspective Images of Planes
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
An Ocularist's Approach to Human Iris Synthesis
IEEE Computer Graphics and Applications
Physically Based Rendering: From Theory to Implementation
Physically Based Rendering: From Theory to Implementation
Exposing digital forgeries by detecting inconsistencies in lighting
MM&Sec '05 Proceedings of the 7th workshop on Multimedia and security
Exposing digital forgeries through specular highlights on the eye
IH'07 Proceedings of the 9th international conference on Information hiding
Exposing digital forgeries by detecting traces of resampling
IEEE Transactions on Signal Processing
Exposing digital forgeries in color filter array interpolated images
IEEE Transactions on Signal Processing - Part II
Exposing Digital Forgeries in Complex Lighting Environments
IEEE Transactions on Information Forensics and Security - Part 1
Duplication localization and segmentation
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
Exposing photo manipulation with inconsistent reflections
ACM Transactions on Graphics (TOG)
Journal of Visual Communication and Image Representation
Hi-index | 0.00 |
The compositing of two or more people 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 a person's eyes. Differences in these parameters across the image are used as evidence of tampering.