Title
Euclidean Distance Distortion Based Robust And Blind Mesh Watermarking
Abstract
The three-dimensional (3D) polygonal meshes are recently widely used in several domains, which necessitate the realistic visualization of the objects. Moreover, there is an urgent need to protect the 3D data properties for preventing unauthorized reproduction. The 3D digital watermarking technology is one of the best solutions to protect data from piracy during transmission through the internet. The current work proposed a novel robust watermarking scheme of polygonal meshes for copyright protection purposes. The proposed algorithm is based on the characteristics of the mesh geometry to embed a sequence of data bits into the object by slightly adjusting the vertex positions. Furthermore, the proposed method used a blind detection scheme. The watermarked model is perceptually indistinguishable from the original one and the embedded watermark is invariant to affine transformation. Through simulations, the quality of the watermarked object as well as the inserted watermark robustness against various types of attacks were tested and evaluated to prove the validity and the efficiency of our algorithm.
Year
DOI
Venue
2016
10.9781/ijimai.2016.428
INTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCE
Keywords
Field
DocType
Mesh Watermarking, Robust, Blind, Turbo Code, Euclidean Distance, Copyright Protection
Affine transformation,Data mining,Digital watermarking,Polygon mesh,Computer science,Visualization,Euclidean distance,Watermark,Invariant (mathematics),Artificial intelligence,Distortion,Machine learning
Journal
Volume
Issue
ISSN
4
2
1989-1660
Citations 
PageRank 
References 
1
0.35
0
Authors
4
Name
Order
Citations
PageRank
Yesmine Ben Amar110.35
Imen Trabelsi210.35
Nilanjan Dey352178.41
Med Salim Bouhlel410.35