Abstract
Robust blind watermarking is the important method for digital works copyright protection. A novel blind watermarking method on 3D meshes was proposed. PCA (principal component analysis) was used for 3D meshes' preprocessing to make a unique model posture. After making division of the 3D meshes based octree, octree structure could be obtained. A random scrambling was made for the RGB(red, green, blue) meaningful watermark image before embedding it into the bottom octree nodes. This method can be used directly on points-cloud, as it does nothing with the topology of the meshes. It is robust against translation, rotation, uniform scaling and random vertex reordering attacks. In addition, a method to generate 'Zero-Watermark' based on higher codec of octree nodes was given. The 'Zero-watermark' was then registered in the third-party of notarization, and it can be robust against simplification, noise addition and remeshing attacks in some extent. This method has a big volume for embedding and high popularity.
| Original language | English |
|---|---|
| Pages (from-to) | 331-335 |
| Number of pages | 5 |
| Journal | Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics |
| Volume | 34 |
| Issue number | 3 |
| State | Published - Mar 2008 |
Keywords
- Principal component analysis
- Robustness
- Three dimensional
- Watermarking
Fingerprint
Dive into the research topics of 'Octree-based blind watermarking on 3D meshes'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver