Automatic Surface Reconstruction from Point Sets in Space

Automatic Surface Reconstruction from Point Sets in Space
复制标题

从空间中的点集自动重建表面

DOI:
10.1111/1467-8659.00438
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发表时间:
2000
影响因子:
2.5
通讯作者:
M. Spagnuolo
M. Spagnuolo
中科院分区:
计算机科学4区
文献类型:
--
作者:
M. Attene;M. Spagnuolo

文献摘要

被引文献

相似文献

本文提出了一种以无组织点的一般集合作为输入,在真实物体上采样,并返回封闭插值曲面的算法。具体地说,这种方法产生了一个由三角形面组成的封闭的2流形表面,不受原始实体的形状或属的限制。重建方法是基于点集的德劳内四面体化的生成,然后是特定标准约束的雕刻过程。该工具的主要应用是在医学分析和逆向工程领域。例如,从基于tac或磁共振的调查开始重建解剖部位是可能的。
In this paper an algorithm is proposed that takes as input a generic set of unorganized points, sampled on a real object, and returns a closed interpolating surface. Specifically, this method generates a closed 2‐manifold surface made of triangular faces, without limitations on the shape or genus of the original solid. The reconstruction method is based on generation of the Delaunay tetrahedralization of the point set, followed by a sculpturing process constrained to particular criteria. The main applications of this tool are in medical analysis and in reverse engineering areas. It is possible, for example, to reconstruct anatomical parts starting from surveys based on TACs or magnetic resonance.