Abstract
When reconstructing a surface from irregularly spaced data we need to decide how to identify a good triangulation. As a measure of quality we consider various differential geometrical properties, namely integral absolute Gaussian curvature, integral absolute mean curvature and area. A comparison is made with data-dependent triangulation methods that exist in the literature.
Original language | English |
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Pages (from-to) | 1-12 |
Number of pages | 12 |
Journal | Journal of computational and applied mathematics |
Volume | 2000 |
Issue number | 119 |
DOIs | |
Publication status | Published - 2000 |
Keywords
- Surface Reconstruction
- Polyhedral metrics
- Data-dependent triangulations
- Curvature