Abstract
A novel watermarking method using singular value decomposition (SVD) is presented in this paper. In this algorithm, a 3D model is taken as a model that consists of triangular meshes, and we select some triangles called independent triangles set (ITS) to generate a Hankel matrix and apply SVD on it, then watermarks are embedded through modulating singular values. The watermarks that embedded by this method are resistant to similarity transformations (i.e., rotation, translation and uniform scaling) and random noises. We can also prove that the proposed algorithm using ITS as embedding primitive is more robust than those using vertex coordinates discussed in other papers in theory, and the experimental results corroborate it as well.