Local Patch Blind Spectral Watermarking Method for 3D Graphics

In this paper, we propose a blind watermarking algorithm for 3D meshes. The proposed algorithm embeds spectral domain constraints in segmented patches. After aligning the 3D object using volumetric moments, the patches are extracted using a robust segmentation method which ensures that they have equal areas. One bit is then embedded in each patch by enforcing specific constraints in the distribution of its spectral coefficients by using Principal Component Analysis (PCA). A series of experiments and comparisons with state-of-the-art in 3D graphics watermarking have been performed; they show that the proposed scheme provides a very good robustness against both geometry and connectivity attacks, while introducing a low level of dis torsion.

• Type: Conference
• Year: 2009
• Where: IWDW
• Authors: Ming Luo, Kai Wang, Adrian G. Bors, Guillaume Lavoué
• Keywords: Blind Watermarking Algorithm, Image Processing, IWDW 2009, Robust Segmentation Method, Spectral Domain Constraints