统一隐含的多层次划分

Y. Ohtake, A. Belyaev, M. Alexa, Greg Turk, H. Seidel
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引用次数: 235

摘要

我们提出了一种新的形状表示,即单位隐式曲面的多级划分,它允许我们从非常大的点集构建曲面模型。我们的方法有三个关键成分:1)捕捉表面局部形状的分段二次函数,2)将这些局部形状函数混合在一起的加权函数(单位分割),以及3)适应局部形状复杂性变化的八叉树细分方法。我们的方法使我们在选择局部形状函数方面具有相当大的灵活性,特别是通过选择适当的形状函数,我们可以准确地表示边缘和角等尖锐特征。错误控制细分导致自适应逼近,其时间和内存消耗取决于所需的精度。由于局部近似和局部混合的分离,该表示不是全局的,可以快速创建和评估。因为我们的曲面是使用隐式函数来描述的,所以诸如形状混合、偏移、变形和CSG等操作都很容易执行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-level partition of unity implicits
We present a new shape representation, the multi-level partition of unity implicit surface, that allows us to construct surface models from very large sets of points. There are three key ingredients to our approach: 1) piecewise quadratic functions that capture the local shape of the surface, 2) weighting functions (the partitions of unity) that blend together these local shape functions, and 3) an octree subdivision method that adapts to variations in the complexity of the local shape.Our approach gives us considerable flexibility in the choice of local shape functions, and in particular we can accurately represent sharp features such as edges and corners by selecting appropriate shape functions. An error-controlled subdivision leads to an adaptive approximation whose time and memory consumption depends on the required accuracy. Due to the separation of local approximation and local blending, the representation is not global and can be created and evaluated rapidly. Because our surfaces are described using implicit functions, operations such as shape blending, offsets, deformations and CSG are simple to perform.
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