A Robust 3D Mesh Watermarking Based on Stable Meshes Detection and Multi-signatures Embedding

This paper proposes 3D mesh watermarking using Maximally Stable Meshes detection and multi-signatures embedding that is robust against numerous attacks, blind, invisible and permits to detect attack type applied on marked mesh. In the proposed algorithm, The Maximally Stable meshes (MSMs) are detected using an extension of Maximally Stable Efficient Regions detection (MSER). After, these MSMs are sorted by their vertices number and three MSMs are selected to be marked. Finally, three different signatures are embedded using three different watermarking schemes. This allows to know the type of the used attack by detecting which of the signatures resisted and to maximize robustness by profiting from advantages of every scheme. Experimental results verified the robustness of the proposed algorithm based on watermark extraction after various types of attack including Rotation, Translation, Zooming, remeshing, simplification, noise and smoothing. In plus, given an attacked mesh, the proposed algorithm can detect the applied attack type by knowing the resistant signature.