Name
Abstract | ||
|---|---|---|
This paper proposes a vertex-estimation-based, feature-preserving smoothing technique for meshes. A robust mesh smoothing operator called mean value coordinates flow is introduced to modify mean curvature flow and make it more stable. Also the paper proposes a three-pass vertex estimation based on bilateral filtering of local neighbors which is transferred from image processing settings and a Quasi-Laplacian operation, derived from the standard Laplacian operator, is performed to increase the smoothness order of the mesh rapidly whilst denoising meshes efficiently, preventing volume shrinkage as well as preserving sharp features of the mesh. Compared with previous algorithms, the result shows it is simple, efficient and robust. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/BF02944753 | J. Comput. Sci. Technol. |
Keywords | Field | DocType |
local neighbor,mesh smoothing,robust vertex estimation,robust mesh smoothing,smoothing technique,standard laplacian operator,robust mesh,quasi-laplacian operation,image processing setting,mean value coordinates flow,curvature flow,mean value,feature-preserving,whilst denoising mesh,previous algorithm,bilateral filtering,mean curvature flow,image processing | Mathematical optimization,Laplacian smoothing,Polygon mesh,Mean curvature flow,Computer science,Image processing,Algorithm,Real-time computing,Smoothing,Operator (computer programming),Bilateral filter,Laplace operator | Journal |
Volume | Issue | ISSN |
19 | 4 | 1860-4749 |
Citations | PageRank | References |
4 | 0.42 | 16 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guo-Fei Hu | 1 | 18 | 1.60 |
| Qun-Sheng Peng | 2 | 88 | 7.57 |
| A. R. Forrest | 3 | 4 | 0.42 |