An Adaptive Subdivision Method Based on Limit Surface Normal

Zhongxian Chen, Xiaonan Luo, Ruotian Ling
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引用次数: 5

Abstract

Subdivision surfaces have become a standard technique for free shape modeling. But subdivision schemes are cost-intensive at higher levels of subdivision, making adaptive methods indispensable for visualization and shape modeling. In this paper, we present an adaptive subdivision method based on limit surface normals. The subdivision surfaces generated by the proposed method approximate the limit surfaces better than those generated by traditional methods. Furthermore, the proposed method can be easily applied to any triangular subdivision scheme with C1 or higher degree of continuity.
一种基于极限曲面法线的自适应细分方法
细分曲面已经成为自由形状建模的标准技术。但是在更高层次的细分中,细分方案的成本很高,这使得自适应方法在可视化和形状建模中不可或缺。本文提出了一种基于极限曲面法线的自适应细分方法。该方法生成的细分曲面比传统方法生成的细分曲面更接近极限曲面。此外,该方法可以很容易地应用于任何具有C1或更高连续度的三角剖分方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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