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Geodesic distance-based pose-invariant blind watermarking algorithm for three-dimensional triangular mesh model

机译:三维三角网格模型中基于测地距离的姿态不变盲水印算法

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Pose editing, changing the poses of three-dimensional (3D) mesh model, frequently results in de-synchronization effect which most 3D watermarking methods are sensitive to and normally regard it as an attack. A novel pose-invariant blind watermarking algorithm for 3D triangular mesh model is proposed in this paper to resist the pose changing attack. In this algorithm, the geodesic distance of each vertex pair on the 3D mesh model to be watermarked is calculated, and then this model is segmented into meaningful pose-invariant components based on the calculation result. Each meaningful component is further divided into non-overlapping cells according to the distribution of geodesic distances from its vertices to the cutting boundary. Finally the defined watermark is embedded into these cells by adjusting the mean value of geodesic distances in order to achieve the invariance of pose changing, and later detection follows the same concept. Our experimental result demonstrates that the proposed algorithm has the ability to resist the attacks of pose changing, similarity transformations, vertex reordering, local deformation, cropping, simplification, additive random noise, and smoothing.
机译:姿势编辑(更改三维(3D)网格模型的姿势)通常会导致去同步效果,大多数3D水印方法都对这种效果不敏感,通常将其视为攻击。针对3D三角网格模型,提出了一种新颖的姿态不变盲水印算法,以抵抗姿态变化的攻击。在该算法中,计算要加水印的3D网格模型上每个顶点对的测地距离,然后根据计算结果将该模型分割为有意义的姿态不变分量。根据从其顶点到切割边界的测地距离的分布,每个有意义的分量进一步分为非重叠单元。最后,通过调节测地距离的平均值将定义的水印嵌入这些单元中,以实现姿态变化的不变性,随后的检测遵循相同的概念。我们的实验结果表明,该算法具有抵抗姿势变化,相似度转换,顶点重新排序,局部变形,裁剪,简化,加性随机噪声和平滑化攻击的能力。

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