Spread Transform and Roughness-based Shaping to Improve 3D Watermarking based on Quadratic Programming

Rolland-Nevière Xavier (1) , Gwenaël Doërr (1) , Pierre Alliez (2)

1 Technicolor [Cesson Sévigné]
2 TITANE - Geometric Modeling of 3D Environments

Modulating the distances between the vertices and the center of mass of a triangular mesh is a popular approach to watermark 3D objects. Prior work has formulated this approach as a quadratic programming problem which minimizes the geometric distortion while embedding the watermark payload in the histogram of distances. To enhance this framework, we introduce two watermarking components, namely the spread transform and perceptual shaping based on roughness information. Benchmarking results showcase the benefits of these add-ons with respect to the fidelity-robustness trade-off.

Domaines: Géométrie algorithmique [cs.CG]

Rolland-Nevière Xavier, Gwenaël Doërr, Pierre Alliez. Spread Transform and Roughness-based Shaping to Improve 3D Watermarking based on Quadratic Programming. International Conference on Image Processing, Oct 2014, paris, France. ⟨hal-01026353⟩