Chapter 5: Smooth Surface Reconstruction Using Doo-Sabin Subdivision Surfaces

F. Cheng, Fengtao Fan, Conglin Huang, Jiaxi Wang, S. Lai, K. Miura
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引用次数: 9

Abstract

A new technique for the reconstruction of a smooth surface from a set of 3D data points is presented. The reconstructed surface is represented by an everywhere C1-continuous subdivision surface which interpolates all the given data points. The new technique consists of two major steps. First, an efficient surface reconstruction method is applied to produce a polyhedral approximation to the given data set M. A Doo-Sabin subdivision surface that smoothly passes through all the points in the given data set M is then constructed. The Doo-Sabin subdivision surface is constructed by iteratively modifying the vertices of the polyhedral approximation until a new control mesh Mmacr, whose Doo-Sabin subdivision surface interpolates M, is reached. This iterative process converges for meshes of any size and any topology. Therefore the surface reconstruction processes well-defined. The new technique has the advantages of both a local method and a global method, and the surface reconstruction process can reproduce special features such as edges and corners faithfully.
第五章:使用Doo-Sabin细分曲面进行光滑曲面重建
提出了一种从一组三维数据点重建光滑表面的新方法。重构曲面由处处c1连续的细分曲面表示,该细分曲面插值所有给定的数据点。这项新技术包括两个主要步骤。首先,采用一种有效的曲面重构方法对给定数据集M生成多面体逼近,然后构造一个平滑通过给定数据集M中所有点的Doo-Sabin细分曲面。通过迭代修改多面体逼近的顶点来构造Doo-Sabin细分曲面,直到得到一个新的控制网格Mmacr,其Doo-Sabin细分曲面插值M。这种迭代过程收敛于任何大小和任何拓扑的网格。因此,表面重建过程定义明确。该方法具有局部法和全局法两种方法的优点,重构过程能够真实再现图像的边缘、角等特征。
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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