Name
Abstract | ||
|---|---|---|
Shape simplification and re-sampling of underlying point-sampled surfaces under user-defined error bounds is an important and challenging issue. Based on the regular triangulation of the Gaussian sphere and the surface normals mapping onto the Gaussian sphere, a Gaussian sphere based re-sampling scheme is presented that generates a non-uniformly curvature-aware simplification of the given point-sampled model. Owing to the theoretical analysis of shape isophotic error metric for did that Gaussian sphere based sampling, the proposed simplification scheme provides a convenient way to control the re-sampling results under a user-specified error metric bound. The novel algorithm has been implemented and demonstrated on several examples. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/SMI.2009.5170160 | Shape Modeling International |
Keywords | Field | DocType |
error metric controllable,point-sampled surface,gaussian sphere,shape isophotic error metric controllable resampling,surface fitting,surface normal mapping,regular triangulation,shape simplification,gaussian processes,isophotic error metric,user-defined geometric error bound,point-sampled surfaces,sampling methods,gaussian sphere based resampling,re-sampling,shape,approximation error,geometry,clustering algorithms,indexes,approximation algorithms,error correction | Approximation algorithm,Mathematical optimization,Gaussian grid,Algorithm,Error detection and correction,Triangulation (social science),Sampling (statistics),Gaussian surface,Gaussian process,Mathematics,Approximation error | Conference |
ISBN | Citations | PageRank |
978-1-4244-4070-2 | 3 | 0.40 |
References | Authors | |
15 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yongwei Miao | 1 | 22 | 3.17 |
| Pablo Diaz-gutierrez | 2 | 51 | 4.54 |
| Pajarola, Renato | 3 | 1786 | 114.59 |
| M. Gopi | 4 | 272 | 24.83 |
| jieqing feng | 5 | 309 | 31.72 |