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Robust 3D Watermarking

Abstract : 3D models are valuable assets widely used in the industry and likely to face piracy issues. This dissertation deals with robust mesh watermarking that is used for traitor-tracing. Following a review of state-of-the-art 3D watermarking systems, the robustness of several content adaptation transforms are benchmarked. An embedding domain robust against pose is investigated, with a thickness estimation based on a robust distance function to a point cloud constructed from some mesh diameters. A benchmark showcases the performance of this domain that provides a basis for robust watermarking in 3D animations. For static meshes, modulating the radial distances is an efficient approach to watermarking. It has been formulated as a quadratic programming problem minimizing the geometric distortion while embedding the payload in the radial distances. This formulation is leveraged to create a robust watermarking framework, with the integration of the spread-transform, integral reference primitives, arbitrarily selected relocation directions and alternate metrics to minimize the distortion perceived. Benchmarking results showcase the benefits of these add-ons w.r.t the fidelity vs. robustness watermarking trade-off. The watermark security is then investigated with two obfuscation mechanisms and a series of attacks that highlight the remaining limitations. A resynchronization approach is finally integrated to deal with cropping attacks. The resynchronization embeds landmarks in a configuration that conveys synchronization information that will be lost after cropping. During the decoding, this information is blindly retrieved and significant robustness improvements are achieved.
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Contributor : Pierre Alliez <>
Submitted on : Thursday, November 13, 2014 - 11:09:45 AM
Last modification on : Thursday, March 5, 2020 - 5:34:41 PM
Long-term archiving on: : Saturday, February 14, 2015 - 10:25:34 AM



  • HAL Id : tel-01082297, version 1



Xavier Rolland-Névière. Robust 3D Watermarking. Signal and Image Processing. Universite de Nice-Sophia Antipolis, 2014. English. ⟨tel-01082297⟩



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