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Robust Zero Watermarking for 3D Triangular Mesh Models Based on Spherical Integral Invariants

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 10431))

Abstract

At present, zero-watermarking algorithms can well resist geometric attacks and signal attacks. However, most of them are not robust to resampling attack. To solve the problem, this paper presents a robust zero-watermarking algorithm for copyright protection of 3D triangular mesh models. The watermark information is constructed by spherical integral invariants and a new computing method based on spherical crown for the invariants is proposed. CPCA(Continues Principle Component Analysis) is introduced to normalize the input mesh, while Ray-Based method is introduced to decompose the normalized mesh into ordered patches. On one hand, for the model to be protected, once the watermark is constructed, it needs to be registered in a trusted third-party IPR(Intellectual Property Rights) database together with a timestamp. On the other hand, for the model to be detected, the constructed watermark should be matched with all watermarks to recognize whether its original model is in the database. Experimental results prove that it is robust against common geometric attacks, signal processing attacks and uniform resampling attack.

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Acknowledgments

This work was supported in part by National NSF of China (61672090, 61332012). The National Key Research and Development Program of China (2016YFB0800404), Fundamental Research Funds for the Central Universities (2015JBZ002).

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Correspondence to Rongrong Ni .

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Cui, C., Ni, R., Zhao, Y. (2017). Robust Zero Watermarking for 3D Triangular Mesh Models Based on Spherical Integral Invariants. In: Kraetzer, C., Shi, YQ., Dittmann, J., Kim, H. (eds) Digital Forensics and Watermarking. IWDW 2017. Lecture Notes in Computer Science(), vol 10431. Springer, Cham. https://doi.org/10.1007/978-3-319-64185-0_24

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  • DOI: https://doi.org/10.1007/978-3-319-64185-0_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64184-3

  • Online ISBN: 978-3-319-64185-0

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