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.
翻译:为了保护版权,需要最佳和实用的三维网格水印技术,它们必须具有盲性,并且对攻击和错误具有稳健性。在本文中,我们介绍了三维盲水印技术的最新发展,特别是我们的有序统计顶点提取和跟踪算法(OSVETA)算法及其改进。OSVETA基于量化指数调制(QIM)和误差校正编码,使用新颖的方式对网格顶点进行司法选择,这些顶点在网格简化下稳定,并且本文中提出的技术通过神经网络提出系统性的顶点选择方法,取代了OSVETA中的启发式方法。神经-OSVETA能够更精确地估计网格几何和更好地估计曲率和拓扑特征,这些增强措施导致更准确地识别稳定顶点,从而显着降低了删除概率。