Abstract
This paper proposes a mesh simplification algorithm using a discrete curvature norm. Most of the simplification algorithms are using a distance metric to date. The distance metric is very efficient to measure geometric error, but it is difficult to distinguish important shape features such as a high-curvature region even though it has a small distance metric. We suggest a discrete curvature norm to measure geometric error for such features. During simplification the new vertex resulted from an edge collapse takes a position using a butterfly subdivision mask to minimize geometric error. This paper shows that simplification results have smaller geometric errors than previous works, when a discrete curvature norm and a distance metric are together applied to its criterion.
Original language | English |
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Pages (from-to) | 657-663 |
Number of pages | 7 |
Journal | Computers and Graphics (Pergamon) |
Volume | 26 |
Issue number | 5 |
DOIs | |
Publication status | Published - 2002 Oct |
Keywords
- Discrete curvatures
- Edge collapse
- Level of detail
- Multiresolution modeling
- Surface simplification
ASJC Scopus subject areas
- Engineering(all)
- Human-Computer Interaction
- Computer Graphics and Computer-Aided Design