增量卡特穆尔-克拉克细分

Hamid-Reza Pakdel, Faramarz F. Samavati
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引用次数: 13

摘要

本文介绍了一种新的自适应Catmull-Clark细分方法。自适应细分根据用户或应用程序的需要细化模型的特定区域。朴素自适应细分算法改变了网格的连通性,导致几何不一致,从而改变了极限曲面。我们的方法扩展了网格的指定区域,这样当它被自适应细分时,它产生一个光滑的表面,其选择的区域与整个网格被细化时相同。这种技术也产生了一个表面的细节水平从粗糙到精细的表面区域增加。将自适应细分方案与其他方案进行了比较,并给出了一些应用实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Incremental Catmull-Clark subdivision
In this paper, a new adaptive method for Catmull-Clark subdivision is introduced. Adaptive subdivision refines specific areas of a model according to user or application needs. Naive adaptive subdivision algorithm changes the connectivity of the mesh, causing geometrical inconsistencies that alter the limit surface. Our method expands the specified region of the mesh such that when it is adaptively subdivided, it produces a smooth surface whose selected area is identical to when the entire mesh is refined. This technique also produces a surface with an increasing level of detail from coarse to fine areas of the surface. We compare our adaptive subdivision with other schemes and present some example applications.
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