A robust watermarking based on feature points

Abstract

The paper present a novel watermarking algorithm, which is obtained based on a watershed segmentation, one image watermarking algorithm and the addition property of Fourier transform. Firstly, some feature points of 3D meshes are extracted by using an effective watershed segmentation algorithm. Furthermore, in order to keep the mesh transparency, watermark information is preprocessed by using an image watermarking algorithm. Finally, digital watermarking is embedded into those feature points. During extraction, the target model is registered by principal component analysis. We have applied our method to a number of 3D mesh models of different geometric and topological complexity. Those experimental results prove that the algorithm is robust against a variety of attacks, such as rotation, translation, scaling, combinations of the above and re-sort. © Springer-Verlag Berlin Heidelberg 2007.