Optimized 3D Watermarking for Minimal Surface Distortion
Authors:
- 24 December 2012
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Image Processing
- Vol. 22 (5) , 1822-1835
Abstract
This paper proposes a new approach to 3D watermarking by ensuring the optimal preservation of mesh surfaces. A new 3D surface preservation function metric is defined consisting of the distance of a vertex displaced by watermarking to the original surface, to the watermarked object surface as well as the actual vertex displacement. The proposed method is statistical, blind, and robust. Minimal surface distortion according to the proposed function metric is enforced during the statistical watermark embedding stage using Levenberg-Marquardt optimization method. A study of the watermark code crypto-security is provided for the proposed methodology. According to the experimental results, the proposed methodology has high robustness against the common mesh attacks while preserving the original object surface during watermarking.Keywords
This publication has 22 references indexed in Scilit:
- Curvature‐Domain Shape ProcessingComputer Graphics Forum, 2008
- Blind Robust Watermarking Schemes for Copyright Protection of 3D Mesh ObjectsIEEE Transactions on Visualization and Computer Graphics, 2005
- Watermarking of 3D Irregular Meshes Based on Wavelet Multiresolution AnalysisLecture Notes in Computer Science, 2005
- Data hiding on 3-D triangle meshesIEEE Transactions on Signal Processing, 2003
- Analysis of pilot-based synchronization algorithms for watermarking of still imagesSignal Processing: Image Communication, 2002
- A Frequency-Domain Approach to Watermarking 3D ShapesComputer Graphics Forum, 2002
- Optimal triangulation and quadric-based surface simplificationComputational Geometry, 1999
- Robust mesh watermarking1999
- Metro: Measuring Error on Simplified SurfacesComputer Graphics Forum, 1998
- An Algorithm for Least-Squares Estimation of Nonlinear ParametersJournal of the Society for Industrial and Applied Mathematics, 1963