An efficient and robust 3D mesh compression based on 3D watermarking and wavelet transform

2011 ◽  
Author(s):  
Ezzeddine Zagrouba ◽  
Saoussen Ben Jabra ◽  
Yosra Didi
Author(s):  
K. Mamou ◽  
N. Stefanoski ◽  
H. Kirchhoffer ◽  
K. Muller ◽  
T. Zaharia ◽  
...  
Keyword(s):  

2005 ◽  
pp. 359-379 ◽  
Author(s):  
JAREK ROSSIGNAC
Keyword(s):  

2006 ◽  
Vol 17 (3-4) ◽  
pp. 337-346 ◽  
Author(s):  
Khaled Mamou ◽  
Titus Zaharia ◽  
Françoise Prêteux
Keyword(s):  

10.5772/62035 ◽  
2016 ◽  
Vol 13 (1) ◽  
pp. 9 ◽  
Author(s):  
Bailin Yang ◽  
Xun Wang ◽  
Frederick W.B. Li ◽  
Binbo Xie ◽  
Xiaohui Liang ◽  
...  

2006 ◽  
Author(s):  
Khaled Mamou ◽  
Titus Zaharia ◽  
Françoise Prêteux

3D Video ◽  
2013 ◽  
pp. 211-228
Author(s):  
Laurent Lucas ◽  
Céline Loscos ◽  
Yannick Remion
Keyword(s):  

2005 ◽  
Vol 16 (6) ◽  
pp. 688-733 ◽  
Author(s):  
Jingliang Peng ◽  
Chang-Su Kim ◽  
C.-C. Jay Kuo
Keyword(s):  

Author(s):  
Zhen Li

Application of 3D mesh model coding is first presented in this chapter. We then survey the typical existing algorithms in the area of compression of static and dynamic 3D meshes. In an introductory sub-section we introduce basic concepts of 3D mesh models, including data representations, model formats, data acquisitions and 3D display technologies. Furthermore, we introduce several typical 3D mesh formats and give an overview to coding principles of mesh compression algorithms in general, followed by describing the quantitative measures for 3D mesh compression. Then we describe some typical and state-of-the-art algorithms in 3D mesh compression. Compression and streaming of gigantic 3D models are specially introduced. At last, the MPEG4 3D mesh model coding standard is briefed. We conclude this chapter with a discussion providing an overall picture of developments in the mesh coding area and pointing out directions for future research.


Author(s):  
Saoussen Ben Jabra ◽  
Ezzeddine Zagrouba

This paper proposes two main contributions. In the first one, a 3D mesh watermarking using Maximally Stable Meshes detection and multi-signatures embedding is presented. The originality of this scheme is to detect the attack type applied on marked mesh. In plus, it is robust against numerous attacks, blind and invisible. The proposed scheme uses the Maximally Stable meshes (MSMs) to insert signature. After MSMs detection using an extension of Maximally Stable Efficient Regions, three MSMs are selected to be marked. Then, three different signatures are embedded using three different watermarking schemes. This embedding allows knowing the type of the applied attack by detecting which of the signatures resisted. In more, it maximizes robustness by profiting from advantages of every scheme. The second contribution is a new evaluation protocol for 3D watermarking which allows generating a performance score for 3D mesh watermarking schemes. This protocol is based on six criteria having different weights in performance score computing. Finally, this protocol is used to evaluate the proposed watermarking scheme and to compare it with other algorithms. The obtained results verified the good performances of the proposed algorithm which presents the highest score.


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