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A New Approach of Mesh Watermarking Based on Maximally Stable Meshes Detection

机译:基于最大稳定网格检测的网眼水印的一种新方法

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Watermarking 3D meshes is very important in many areas of activity including digital cinematography, virtual reality as well as in CAD design. Due to the complexity of 3D meshes, mesh watermarking schemes are far from the maturity of watermarking algorithms dedicated to audio, image or video watermarking. According to our knowledge, no existing scheme is robust against all attacks. To verify a good trade-off between invisibility and robustness, a new approach of 3D mesh watermarking algorithm based on MSMs detection is proposed in this paper. In this algorithm, only invariant regions are marked. These invariant regions are called Maximally Stable Meshes (MSMs) and they present an extension of the well-known Maximally Stable Extremal Regions (MSER) detected for 2D images. First, an efficient way to detect MSMs in 3D meshes by using curvature measures of vertices is presented. Then, obtained MSMs are marked with a geometric watermarking scheme. The experimentations show that this new watermarking is robust against numerous attacks including rotation, zooming, translation, cropping, simplification, and remeshing. Moreover, it gives a good invisibility and a blind extraction.
机译:水印3D网格在许多活动领域非常重要,包括数字电影,虚拟现实以及CAD设计。由于3D网格的复杂性,网状水印方案远非专用于音频,图像或视频水印的水印算法的成熟度。根据我们的知识,没有现有的计划对所有攻击的强大。为了验证隐形和稳健性之间的良好折衷,本文提出了一种基于MSM检测的3D网状水印算法的新方法。在该算法中,仅标记不变区域。这些不变区域被称为最大稳定的网格(MSM),并且它们呈现了检测到2D图像的众所周知的最大稳定的极端区域(MSER)的延伸。首先,介绍了通过使用顶点的曲率测量来检测3D网格中MSMS的有效方法。然后,获得的MSM标有几何水印方案。实验表明,这种新的水印对于包括旋转,缩放,翻译,裁剪,简化和回忆,包括旋转,缩放,翻译,裁剪,简化和回忆。而且,它给出了良好的隐形和盲目的提取。

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