Abstract
In this paper, we introduce a novel blind 3D mesh watermarking method which focuses on preserving the appearance of the watermarked model. Despite the high transparency achieved by existing 3D watermarking schemes, we observe that only a small amount of geometric error can bring a significant impact to appearance of 3D models, especially in visually important regions. We integrate this human perceptual importance, called saliency, to control the distortions on surfaces. Our method enhances the imperceptibility while maintaining the efficiency of processing spatial information by conjugating spatial and spectral regions. We use the vertex norm distribution and solve the quadratic error minimization problem to insert watermark bits. Experimental results demonstrate that our method performs well for perceived visual quality and also robustness against various geometric attacks.
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Acknowledgments
This work was supported by the Institute for Information & communications Technology Promotion (IITP) grant funded by the Korean government (MSIP) (No. R0126-16-1024, Managerial Technology Development and Digital Contents Security of 3D Printing based on Micro Licensing Technology).
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Son, J., Kim, D., Choi, HY., Jang, HU., Choi, S. (2017). Perceptual 3D Watermarking Using Mesh Saliency. In: Kim, K., Joukov, N. (eds) Information Science and Applications 2017. ICISA 2017. Lecture Notes in Electrical Engineering, vol 424. Springer, Singapore. https://doi.org/10.1007/978-981-10-4154-9_37
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DOI: https://doi.org/10.1007/978-981-10-4154-9_37
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