CURVATURE-WEIGHTED SURFACE SIMPLIFICATION ALGORITHM USING VERTEX-BASED GEOMETRIC FEATURES

Han-Soo Choi, Dalhyeon Gwon, Heejae Han, Myung-joo Kang
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Abstract

The quadratic error metric (QEM) algorithm has been frequently used for simplification of triangular surface models that utilize the vertex-pair algorithm. Simplified models obtained using such algorithms present the advantage of smaller storage capacity requirement compared to the original models. However, a number of cases exist where significant features are lost geometrically, and these features can generally be preserved by utilizing the advantages of the curvature-weighted algorithm. Based on the vertex-based geometric features, a method capable of preserving the geometric features better than the previous algorithms is proposed in this work. To validate the effectiveness of the proposed method, a simplification experiment is conducted using several models. The results of the experiment indicate that the geometrically important features are preserved well when a local feature is present and that the error is similar to those of the previous algorithms when no local features are present.
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基于顶点几何特征的曲率加权曲面简化算法
二次误差度量(QEM)算法经常被用于利用顶点对算法的三角曲面模型的简化。使用该算法得到的简化模型与原始模型相比,具有存储容量要求更小的优点。然而,存在许多情况下,重要的特征在几何上丢失,这些特征通常可以通过利用曲率加权算法的优点来保留。基于基于顶点的几何特征,提出了一种比现有算法更好地保留几何特征的方法。为了验证该方法的有效性,对多个模型进行了简化实验。实验结果表明,当存在局部特征时,该算法能很好地保留几何上重要的特征,且误差与不存在局部特征时的算法相近。
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