A Novel Robust Statistical Watermarking of 3D Meshes

  • Nassima MedimeghEmail author
  • Samir BelaidEmail author
  • Mohamed AtriEmail author
  • Naoufel WerghiEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 684)


In this paper, we present a novel robust blind 3D mesh watermarking approach. We embed signature bits into the vertex norms distribution. At first, the robust source locations are extracted by using a salient point detector, based on the Auto Diffusion Function (ADF). Afterwards, the mesh is segmented into different regions according to the detected salient points. Then, the same watermark bits are embedded statistically into each region. The experimental results show the robustness of our method against cropping and other common attacks. Due to the stability of salient points, we can retrieve the watermarked region and extract the watermark. In addition, the performance of our method is also demonstrated on the minimal surface distortion in the embedding process.


3D watermarking Salient points Fast marching method Statistical method 


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.University of MonastirMonastirTunisia
  2. 2.Khalifa UniversitySharjahUAE

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