Abstract
In this paper, we present a reversible watermarking method for 3D models with arbitrary topology based on histogram shifting. We use similarity-transformation invariants to generate histogram such that the proposed method is invariant to similarity transformations including translation, rotation and uniform scaling. By adjusting the range of a histogram adaptively, our proposed method provides a tunable capacity and invisibility for watermarking. The computational complexity of our proposed method is also very low. Experimental results demonstrate the high effectiveness of our proposed algorithm.
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Gao, X., Zhang, C., Huang, Y., Hu, X., Zhu, A. (2011). Similarity-Transformation Invariant Reversible Watermarking for 3D Models. In: Gelenbe, E., Lent, R., Sakellari, G., Sacan, A., Toroslu, H., Yazici, A. (eds) Computer and Information Sciences. Lecture Notes in Electrical Engineering, vol 62. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9794-1_53
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DOI: https://doi.org/10.1007/978-90-481-9794-1_53
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