When reconstructing a surface from irregularly spaced data, sampled from a closed surface in 3D, we need to decide how to identify a good triangulation. As a measure of quality we consider various differential geometrical properties, such as integral Gaussian curvature, integral mean curvature and area. We furthermore study a non-functional approach, which is based on a mapping procedure. A locally optimal triangulation is then identified as a fixed point under the map. The optimization methods all require an initial triangulation as a starting point. To find an initial triangulation, we look at growing and shrinking approaches.
|Place of Publication||Enschede|
|Publisher||University of Twente|
|Number of pages||25|
|Publication status||Published - 1998|
|Publisher||Department of Applied Mathematics, University of Twente|