从分散数据点重建b样条曲面

B. Gregorski, B. Hamann, K. Joy
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引用次数: 59

摘要

我们提出了一种从三维空间中分散的点集重建光滑表面的新方法。我们的算法首先将一个给定的点集分解成一个四叉树式的数据结构,即条形树。条带树用于拟合一组最小二乘二次曲面到数据点。然后将这些二次曲面度提升为双三次曲面,并混合在一起形成一组近似给定点集的b样条曲面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reconstruction of B-spline surfaces from scattered data points
We present a new approach for reconstructing a smooth surface from a set of scattered points in 3D space. Our algorithm first decomposes a given point set into a quadtree-like data structure known as a strip tree. The strip tree is used to fit a set of least squares quadratic surfaces to the data points. These quadratic surfaces are then degree-elevated to bi-cubic surfaces and blended together to form a set of B-spline surfaces that approximates the given point set.
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