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Contribution Details
| Type | Conference or Workshop Paper |
| Scope | Discipline-based scholarship |
| Published in Proceedings | Yes |
| Title | Shape isophotic error metric controllable re-sampling for point-sampled surfaces |
| Organization Unit | |
| Authors |
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| Presentation Type | paper |
| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| Page Range | 28 - 35 |
| Event Title | IEEE International Conference of Shape Modeling and Applications |
| Event Type | conference |
| Event Location | Beijing, China |
| Event Start Date | June 26 - 2009 |
| Event End Date | June 28 - 2009 |
| Abstract Text | Shape simplification and re-sampling of underlying point-sampled surfaces under userdefined 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. |
| Digital Object Identifier | 10.1109/SMI.2009.5170160 |
| Other Identification Number | merlin-id:182 |
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