Abstract
Conference Title: 2017 51st Asilomar Conference on Signals, Systems, and Computers Conference Start Date: 2017, Oct. 29 Conference End Date: 2017, Nov. 1 Conference Location: Pacific Grove, CA, USA A 3d mesh blind optimized watermarking technique is proposed in this paper. The technique relies on the displacement process of the vertices locations depending on the modification of the variances of the vertices's norms. Statistical analysis were performed to establish the proper distributions that best fit each mesh, and hence establishing the bins sizes. Several optimizing approaches were introduces in the realms of mesh local roughness, the statistical distributions of the norms, and the displacements in the mesh centers. Experimental results showed that the approach is robust in terms of both the perceptual and the quantitative qualities. Moreover, it was also robust against both the geometry and connectivity attacks.