Résumé: This paper proposes a mesh simpli .cation algorithm using a discrete curvature norm Most of the simpli .cation algorithms are using a distance metric to date. The distance metric is very ef .cient to measure geometric error, but it is dif .cult 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 simpli .cation the new vertex resulted from an edge collapse takes a position using a butter .y subdivision mask to minimize geometric error. This paper shows that simpli .cation results have smaller geometric errors than previous works, when a discrete curvature norm anda distance metric are together appliedto its criterion.

Langue: Anglais