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 |
|---|---|---|
2009 | 10.1007/s11760-008-0079-y | Signal, Image and Video Processing |
Keywords | Field | DocType |
3d watermarking · mesh compression · spectral decomposition · visual error,spectral decomposition | Digital watermarking,Embedding,Polygon mesh,Pattern recognition,Algorithm,Watermark,Geometric transformation,Smoothing,Artificial intelligence,Spectral method,Mesh generation,Mathematics | Journal |
Volume | Issue | ISSN |
3 | 4 | 1863-1711 |
Citations | PageRank | References |
9 | 0.49 | 31 |
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 |