Name
Abstract | ||
|---|---|---|
Multi-resolution and wavelet analysis have generated considerable interest in the field of mesh surface representation. In this paper, we propose a backward, coarse-to-fine framework that derives a semi-regular approximation of an original mesh, and demonstrate its effectiveness on level-of-detail and scalable coding applications. The framework is flexible and simple because the position of a new vertex at a finer resolution can be derived in a closed form, based on the affine combination of a subdivision scheme, the original mesh, and “new” information about the wavelet coefficients. We report the results of experiments on both applications; and also compare the scalable coding results with those of other methods. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICIP.2014.7026132 | ICIP |
Keywords | Field | DocType |
subdivision scheme,level control,image representation,multiresolution analysis,image coding,mesh surface representation,approximation theory,wavelet transforms,affine combination,image resolution,level of detail control,semiregular approximation,backward coarse-to-fine framework,affine transforms,backward wavelet remesher analysis,scalable coding application | Computer vision,Vertex (geometry),Affine combination,Level of detail,Computer science,Scalable coding,Subdivision,Artificial intelligence,Wavelet packet decomposition,Wavelet | Conference |
ISSN | Citations | PageRank |
1522-4880 | 2 | 0.38 |
References | Authors | |
21 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hao-Chiang Shao | 1 | 9 | 4.97 |
| Wen-Liang Hwang | 2 | 429 | 58.03 |
| Yung-chang Chen | 3 | 799 | 96.73 |