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Forgery Detection in 3D-Sensor Images
AbstractThe field of Image Forensic, and with it the notion of image forgery and its detection, is widely studied in 2D images and videos. Since 3D cameras (cameras with depth sensors) are becoming increasingly commonplace, it is of importance to introduce the notion of forgery detection in depth-images. In this paper, we present an introductory study of forgery detection in depth-images. Specifically, we show that noise statistics in depth-images can be exploited for camera source identification, image forgery detection and even depth reconstruction from noise.
Related Material
[pdf][bibtex]@InProceedings{Privman-Horesh_2018_CVPR_Workshops,
author = {Privman-Horesh, Noa and Haider, Azmi and Hel-Or, Hagit},
title = {Forgery Detection in 3D-Sensor Images},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2018}
}
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