Title: A blind 3D watermarking technique using spherical coordinates and skewness measure

Authors: Alaa E. Abdallah; Emad E. Abdallah; Mohammad Bsoul; Ahmad Al-Khasawneh; Lina Amer

Addresses: Faculty of Prince Al-Hussein Bin Abdallah II For Information Technology, Hashemite University, P.O. Box 150459, Zarqa 13115, Jordan ' Faculty of Prince Al-Hussein Bin Abdallah II For Information Technology, Hashemite University, P.O. Box 150459, Zarqa 13115, Jordan ' Faculty of Prince Al-Hussein Bin Abdallah II For Information Technology, Hashemite University, P.O. Box 150459, Zarqa 13115, Jordan ' Faculty of Prince Al-Hussein Bin Abdallah II For Information Technology, Hashemite University, P.O. Box 150459, Zarqa 13115, Jordan ' Faculty of Prince Al-Hussein Bin Abdallah II For Information Technology, Hashemite University, P.O. Box 150459, Zarqa 13115, Jordan

Abstract: Three-dimensional watermarking is very useful for copyright protection, verification, and indexing. In this paper we propose a robust computationally inexpensive 3D polygonal mesh watermarking methodology. The new algorithm is based on vertex distribution and skewness measure. The core idea behind our algorithm is to modify the skewness measure based on a predefined secret message. The proposed algorithm is slightly altering the skewness distribution of several intervals extracted from a 3D model. The main attractive features of this approach is the improved performance of the data embedding system, perceptual invisibility and it is resistant to a variety of the most common attacks.

Keywords: 3D watermarking; three-dimensional models; perceptual invisibility; spherical coordinates; 3D attacks; blind watermarking; skewness; polygonal mesh; vertex distribution; 3D modelling; data embedding; security.

DOI: 10.1504/IJSN.2015.068390

International Journal of Security and Networks, 2015 Vol.10 No.1, pp.1 - 8

Available online: 28 Mar 2015 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article