A new topology-based watermarking method for layered 3D triangular mesh models
Machine Graphics & Vision International Journal
Robust blind watermarking mechanism for point sampled geometry
Proceedings of the 9th workshop on Multimedia & security
A robust spectral approach for blind watermarking of manifold surfaces
Proceedings of the 10th ACM workshop on Multimedia and security
Robust blind watermarking of point-sampled geometry
IEEE Transactions on Information Forensics and Security
Blind robust watermarking of 3d motion data
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Steganography for three-dimensional models
CGI'06 Proceedings of the 24th international conference on Advances in Computer Graphics
A data hiding algorithm for point-sampled geometry
ICCSA'06 Proceedings of the 6th international conference on Computational Science and Its Applications - Volume Part I
Wavelet analysis based blind watermarking for 3-d surface meshes
IWDW'06 Proceedings of the 5th international conference on Digital Watermarking
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This paper discusses a method to watermark a 3D shape model defined as a set of unoriented points. Our approach is to perform frequency domain analysis of the shape of the 3D point set for watermarking. Our method applies the mesh-spectral analysis technique proposed by Zachi Karni, et al. to the point set model for frequency domain shape analysis. As the technique requires connectivity of vertices for the analysis, our method generates a non-manifold mesh from the point set and uses its connectivity for the analysis. The watermarks embedded by using the method can be detected, to some extent, after such attacks as cropping, (simulated) simplification, similarity transformation, and additive random noise applied on the watermarked point set model.