Abstract
An optimization-based methodology is proposed in this paper preserving mesh surfaces in 3D watermarking. The Levenberg-Mar- quardt optimization algorithm is used for displacing the vertices according to the message to be embedded. A specific cost function is used by this method in order to ensure minimal surface distortion while the watermark would be enabled with high robustness to attacks. This cost function consists of three components representing the distance to the original surface, to the watermarked surface and the vertex displacement, respectively. The proposed methodology is statistical, blind and robust. A study of its crypto-security is provided as well in this research study.
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© 2013 Springer-Verlag Berlin Heidelberg
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Bors, A.G., Luo, M. (2013). Watermark Optimization of 3D Shapes for Minimal Distortion and High Robustness. In: Wilson, R., Hancock, E., Bors, A., Smith, W. (eds) Computer Analysis of Images and Patterns. CAIP 2013. Lecture Notes in Computer Science, vol 8048. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40246-3_37
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DOI: https://doi.org/10.1007/978-3-642-40246-3_37
Publisher Name: Springer, Berlin, Heidelberg
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