Similarity-Transformation Invariant Reversible Watermarking for 3D Models
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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. © 2011 Springer Science+Business Media B.V.
author list (cited authors)
Gao, X., Zhang, C., Huang, Y., Hu, X., & Zhu, A.