Hierarchical extraction of iso-surfaces with semi-regular meshes

K. Hormann, U. Labsik, M. Meister, G. Greiner
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引用次数: 11

Abstract

In this paper we present a novel approach to iso-surface extraction which is based on a multiresolution volume data representation and hierarchically approximates the iso-surface with a semi-regular mesh. After having generated a hierarchy of volumes, we extract the iso-surface from the coarsest resolution with a standard Marching Cubes algorithm, apply a simple mesh decimation strategy to improve the shape of the triangles, and use the result as a base mesh. Then we iteratively fit the mesh to the iso-surface at the finer volume levels, thereby subdividing it adaptively in order to be able to correctly reconstruct local features. We also take care of generating an even vertex distribution over the iso-surface so that the final result consists of triangles with good aspect ratio. The advantage of this approach as opposed to the standard method of extracting the iso-surface from the finest resolution with Marching Cubes is that it generates a mesh with subdivision connectivity which can be utilized by several multiresolution algorithms. As an application of our method we show how to reconstruct the surface of archaeological items.
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半规则网格等曲面的分层提取
本文提出了一种基于多分辨率体数据表示的等值面提取方法,该方法采用半规则网格分层逼近等值面。在生成了一个体量的层次结构之后,我们使用标准的Marching Cubes算法从最粗糙的分辨率中提取等表面,应用简单的网格抽取策略来改进三角形的形状,并将结果用作基础网格。然后在更细的体积水平上迭代拟合网格到等值面,从而自适应细分网格,以便能够正确地重建局部特征。我们还负责在等高表面上生成均匀的顶点分布,以便最终结果由具有良好宽高比的三角形组成。与使用Marching Cubes从最精细分辨率提取等曲面的标准方法相比,该方法的优点是它生成了一个具有细分连通性的网格,可以被多种多分辨率算法利用。作为我们方法的一个应用,我们展示了如何重建考古物品的表面。
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