Name
Abstract | ||
|---|---|---|
We propose a robust and imperceptible spectral watermarking method for high rate embedding of a watermark into 3D polygonal meshes. Our approach consists of four main steps: (1) the mesh is partitioned into smaller sub-meshes, and then the watermark embedding and extraction algorithms are applied to each sub-mesh, (2) the mesh Laplacian spectral compression is applied to the sub-meshes, (3) the watermark data is distributed over the spectral coefficients of the compressed sub-meshes, (4) the modified spectral coefficients with some other basis functions are used to obtain uncompressed watermarked 3D mesh. The main attractive features of this approach are simplicity, flexibility in data embedding capacity, and fast implementation. Extensive experimental results show the improved performance of the proposed method, and also its robustness against the most common attacks including the geometric transformations, adaptive random noise, mesh smoothing, mesh cropping, and combinations of these attacks. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1145/1268517.1268570 | Graphics Interface 2012 |
Keywords | Field | DocType |
main attractive feature,mesh smoothing,spectral graph-theoretic approach,watermark embedding,polygonal mesh,spectral coefficient,mesh watermarking,main step,modified spectral coefficient,imperceptible spectral,watermark data,smaller sub-meshes,spectral decomposition | Laplacian smoothing,Digital watermarking,Polygon mesh,Computer science,Transformation geometry,Theoretical computer science,Robustness (computer science),Watermark,Artificial intelligence,Computer vision,Embedding,Algorithm,Smoothing | Conference |
Citations | PageRank | References |
6 | 0.46 | 24 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Emad E. Abdallah | 1 | 112 | 12.57 |
| A. Ben Hamza | 2 | 483 | 42.24 |
| Prabir Bhattacharya | 3 | 1010 | 147.90 |