Abstract
The current watermarking method is robust to several common attacks, but it is difficult to resist attacks of game models, such as cropping, game packaging, game assembly. In order to resist the attacks, this paper proposes a blind multi-region watermarking method based on FCM clustering and density tag estimation of vertex set for 3D game model. In the method, in order to resist the attack of game packaging, we preprocess the game model. In order to resist attacks of cropping and game assembly, we divide the model into multiple regions by FCM clustering and embed watermark into all regions. In order to improve the invisibility of the watermark, we select a vertex set of moderate density by density tag estimation method in each region. In addition, we embed the watermark by changing the positional relationship of the adjacent three vertices in the vertex set. The experimental results show that the proposed method achieved robustness against common attacks such as additive noise, cropping, and can resist attacks of game models, such as game packaging and game assembly.
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Acknowledgement
This work was partially supported by National Natural Science Foundation of China (No. 61370218, No. 61971247), and Public Welfare Technology and Industry Project of Zhejiang Provincial Science Technology Department (No. LGG19F020016).
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Wang, S., Li, L., Lu, J., Chang, CC. (2020). A Watermarking Method for 3D Game Model Based on FCM Clustering and Density Tag Estimation of Vertex Set. In: Jain, L., Peng, SL., Wang, SJ. (eds) Security with Intelligent Computing and Big-Data Services 2019. SICBS 2019. Advances in Intelligent Systems and Computing, vol 1145. Springer, Cham. https://doi.org/10.1007/978-3-030-46828-6_13
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DOI: https://doi.org/10.1007/978-3-030-46828-6_13
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