Geometry-Based Watermarking of 3D Models
IEEE 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 robust watermarking based on feature points
Edutainment'07 Proceedings of the 2nd international conference on Technologies for e-learning and digital entertainment
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
A Robust Embedding Scheme and an Efficient Evaluation Protocol for 3D Meshes Watermarking
International Journal of Computer Vision and Image Processing
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Watermarking 3D meshes is very important in many areas of activity including digital cinematography, virtual reality as well as in CAD design. Due to the complexity of 3D meshes, mesh watermarking schemes are far from the maturity of watermarking algorithms dedicated to audio, image or video watermarking. According to our knowledge, no existing scheme is robust against all attacks. To verify a good trade-off between invisibility and robustness, a new approach of 3D mesh watermarking algorithm based on MSMs detection is proposed in this paper. In this algorithm, only invariant regions are marked. These invariant regions are called Maximally Stable Meshes (MSMs) and they present an extension of the well-known Maximally Stable Extremal Regions (MSER) detected for 2D images. First, an efficient way to detect MSMs in 3D meshes by using curvature measures of vertices is presented. Then, obtained MSMs are marked with a geometric watermarking scheme. The experimentations show that this new watermarking is robust against numerous attacks including rotation, zooming, translation, cropping, simplification, and remeshing. Moreover, it gives a good invisibility and a blind extraction.