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Constructing gene features for robust 3D mesh zero-watermarking
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AI
DOI：10.1016/j.jisa.2022.103414.png)
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摘要
En 中文
The rapid developments of information technology and network communication have made mesh models convenient for copying and sharing through the Internet. Accordingly, the protection of the intellectual property has become an urgent and crucial task. No doubt that the robust watermarking technology is a clever way to solve this issue. The fault tolerance, however, is proportional to the amount of data. Hence, it is difficult to counteract attacks which deleting or altering a large amount of vertex information. In this article, we aim to propose a robust zero-watermarking technique based on 3D mesh gene features. The model is divided into multiple gene groups. Recessive and dominant features can be extracted from these gene groups to resist the distortion and distortionless attacks, respectively. Simulations have proved that the gene features can be used to effectively resist attacks of noise addition, cropping, smoothing, simplification, and common lossless operations. Thus, the proposed method can firmly protect the intellectual property rights of the mesh model.
Keyword:
Gene feature
3D Mesh
Robustness
Spatial partition
Zero-watermarking
期刊
IF:
3.7
论文数:
2.0K
被引数:
4.9K
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分享收藏Hybrid Watermarking Algorithm Using Clifford Algebra With Arnold Scrambling and Chaotic Encryption.png)
IEEE ACCESS
OAAI
IEEE ACCESSIF3.6
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