CRGROct 24, 2019

A Robust Blind 3-D Mesh Watermarking technique based on SCS quantization and mesh Saliency for Copyright Protection

arXiv:1910.11211v11 citations
Originality Incremental advance
AI Analysis

This addresses copyright protection for 3-D meshes used in applications like video games and medical imaging, but it is incremental as it builds on existing robust watermarking approaches.

The paper tackles the challenge of imperceptibility in robust 3-D mesh watermarking for copyright protection by proposing a method based on mesh saliency and SCS quantization, achieving high imperceptibility and good robustness against common attacks.

Due to the recent demand of 3-D meshes in a wide range of applications such as video games, medical imaging, film special effect making, computer-aided design (CAD), among others, the necessity of implementing 3-D mesh watermarking schemes aiming to protect copyright has increased in the last decade. Nowadays, the majority of robust 3-D watermarking approaches have mainly focused on the robustness against attacks while the imperceptibility of these techniques is still a serious challenge. In this context, a blind robust 3-D mesh watermarking method based on mesh saliency and scalar Costa scheme (SCS) for Copyright protection is proposed. The watermark is embedded by quantifying the vertex norms of the 3-D mesh by SCS scheme using the vertex normal norms as synchronizing primitives. The choice of these vertices is based on 3-D mesh saliency to achieve watermark robustness while ensuring high imperceptibility. The experimental results show that in comparison with the alternative methods, the proposed work can achieve a high imperceptibility performance while ensuring a good robustness against several common attacks including similarity transformations, noise addition, quantization, smoothing, elements reordering, etc.

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