  Best and practical watermarking schemes for copyright protection of 3D meshes
are required to be blind and robust to attacks and errors. In this paper, we
present the latest developments in 3D blind watermarking with a special
emphasis on our Ordered Statistics Vertex Extraction and Tracing Algorithm
(OSVETA) algorithm and its improvements. OSVETA is based on a combination of
quantization index modulation (QIM) and error correction coding using novel
ways for judicial selection of mesh vertices which are stable under mesh
simplification, and the technique we propose in this paper offers a systematic
method for vertex selection based on neural networks replacing a heuristic
approach in the OSVETA. The Neuro-OSVETA enables a more precise mesh geometry
estimation and better curvature and topological feature estimation. These
enhancements result in a more accurate identification of stable vertices
resulting in significant reduction of deletion probability.
