Reconstruction of feature volumes and feature suppression

S. Venkataraman, M. Sohoni
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引用次数: 39

Abstract

This paper describes a systematic algorithm for reconstructing the feature volume from a set of faces in a solid model. This algorithm serves a dual purpose. Firstly, the algorithm generates the feature volume by extending or contracting the neighboring faces of the set of faces. Secondly, the algorithm may also be used to remove (or suppress) the face-set from the model. The algorithm uses a divide-and-conquer strategy and geometric cues to identify the correct topology. It robustly handles a wide class of feature volumes with complex topology and geometry. A simplified version of the algorithm has also been presented to handle volumes resulting from 2.5D features.
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特征体重构与特征抑制
本文描述了一种从实体模型的一组面重构特征体的系统算法。这个算法有两个目的。该算法首先通过扩展或收缩人脸集的相邻人脸生成特征体;其次,该算法还可以用于从模型中删除(或抑制)人脸集。该算法使用分治策略和几何线索来识别正确的拓扑结构。它可以鲁棒地处理具有复杂拓扑和几何结构的大量特征体。该算法的简化版本也被提出用于处理由2.5D特征产生的体积。
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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