@inproceedings{d31b191ba18f4df0bb4906a5e1e9c598,
title = "Statistical robust watermarking for 3D mesh models based on salient points",
abstract = "We propose in this paper, a robust blind watermarking algorithm for 3D mesh models by embedding bits of signature in distributions of vertex norms. Using the Fast Marching Method (FMM), we define regions on the mesh according to a reference location. This robust source location are selected by the salient point detector based on Auto Diffusion Function (ADF). We show that robustness against cropping and other common attacks is achieved. Due to stability of salient points, we can retrieve the watermarked region and extract the watermark. Also, the proposed method has provided a minimal surface distortion in the embedding process.",
keywords = "3D watermarking, Fast marching method, salient point detector, statistical method",
author = "Nassima Medimegh and Samir Belaid and Mohamed Atri and Naoufel Werghi",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2nd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2016 ; Conference date: 21-03-2016 Through 24-03-2016",
year = "2016",
month = jul,
day = "26",
doi = "10.1109/ATSIP.2016.7523057",
language = "British English",
series = "2nd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "52--56",
booktitle = "2nd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2016",
address = "United States",
}