'Meshsweeper': Dynamic Point-to-Polygonal-Mesh Distance and Applications
IEEE Transactions on Visualization and Computer Graphics
Geometry-Based Watermarking of 3D Models
IEEE Computer Graphics and Applications
Mesh Approximation Using a Volume-Based Metric
PG '99 Proceedings of the 7th Pacific Conference on Computer Graphics and Applications
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PG '02 Proceedings of the 10th Pacific Conference on Computer Graphics and Applications
Robust Watermarking of Point-Sampled Geometry
SMI '04 Proceedings of the Shape Modeling International 2004
Wavelet-based blind watermarking of 3D models
Proceedings of the 2004 workshop on Multimedia and security
A novel performance evaluation method of local detectors on non-planar scenes
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
3D Segmentation by Maximally Stable Volumes (MSVs)
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Watermarking 3D mesh by spherical parameterization
Computers and Graphics
A new approach of mesh watermarking based on maximally stable meshes detection
NTMS'09 Proceedings of the 3rd international conference on New technologies, mobility and security
Watermarking technique for authentication of 3-d polygonal meshes
IWDW'04 Proceedings of the Third international conference on Digital Watermarking
Watermarking three-dimensional polygonal models through geometric and topological modifications
IEEE Journal on Selected Areas in Communications
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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.