计算Hausdorff距离的VTK算法

The VTK Journal Pub Date : 2011-09-22 DOI:10.54294/ys4vxd
F. Commandeur, J. Velut, O. Acosta
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引用次数: 29

摘要

豪斯多夫距离是点集之间距离的度量。与其他相似度度量相比,使用此度量有许多优点。本文档描述了一个VTK类,用于计算两组点之间的豪斯多夫距离。与其他实现相比,主要贡献在于不仅定义了到最近点的距离,而且定义了到表示表面上最近点的距离,即使在欠采样表面之间也能产生准确的测量。这是通过实现点到单元的距离而不是点对点的距离来实现的。此外,还实现了ParaView的插件,该插件也可以从代码中获得。在介绍了这个距离的意义之后,通过一些例子对VTK代码进行了解释和说明。
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A VTK Algorithm for the Computation of the Hausdorff Distance
The Hausdorff distance is a measure of the distance between sets of points. There are many advantages to using this metric compared to other similarity measures. This document describes a VTK class for computing the Hausdorff Distance between two sets of points. The main contribution, compared to other implementations, lies in the definition of the distance not only to the closest point but to the closest point in the represented surface, which yields an accurate measure even between undersampled surfaces. This is achieved by implementing a point-to-cell distance instead of a point-to-point. Furthermore, a plugin for ParaView was implemented, which is also available with the code. After introducing the interest of this distance, the VTK code is explained and illustrated with some examples.
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