Tang Qijian, Li Yanfei, Wang Qilei, He Wenqi, Peng Xiang
Key Laboratory of Optoelectronic Devices and System of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China.
Technology Department, Heyuan Shenzhen University Bay Institute, Heyuan 517099, China.
Entropy (Basel). 2023 Sep 22;25(10):1369. doi: 10.3390/e25101369.
Digital watermarking technology is an important means to effectively protect three-dimensional (3D) model data. Among them, "blind detection" and "robustness" are key and difficult points in the current research of digital watermarking technology based on 3D models. In order to realize the blind detection of a watermark and improve its robustness against various common attacks at the same time, this paper proposes a dual blind watermarking method based on the normal feature of the centroid of first-ring neighboring points. The local spherical coordinate system is constructed by calculating two different normal vectors, and the first pattern watermark and the second random binary sequence watermark are embedded, respectively. The experimental results show that this method can not only realize the blind detection of dual watermarks, but also have the ability to resist common attacks such as translation, rotation, scaling, cropping, simplification, smoothing, noise, and vertex reordering to a certain extent.
数字水印技术是有效保护三维（3D）模型数据的重要手段。其中，“盲检测”和“鲁棒性”是当前基于3D模型的数字水印技术研究中的重点和难点。为了实现水印的盲检测并同时提高其对各种常见攻击的鲁棒性，本文提出了一种基于首环邻点质心法线特征的双盲水印方法。通过计算两个不同的法线向量构建局部球坐标系，并分别嵌入第一模式水印和第二随机二进制序列水印。实验结果表明，该方法不仅能够实现双水印的盲检测，还在一定程度上具有抵抗平移、旋转、缩放、裁剪、简化、平滑、噪声和顶点重排序等常见攻击的能力。
