Quality Mesh Smoothing via Local Surface Fitting and Optimum Projection.

Quality Mesh Smoothing via Local Surface Fitting and Optimum Projection.
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DOI:
10.1016/j.gmod.2011.01.002
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发表时间:
2011-07-01
期刊:
影响因子:
1.7
通讯作者:
Yu, Zeyun
Yu, Zeyun
中科院分区:
计算机科学4区
文献类型:
--
作者:
Wang, Jun;Yu, Zeyun

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曲面网格的光滑度和角度质量是衡量网格“优良性”的两个重要指标,适用于可视化和数值模拟等下游应用。本文提出了一种新的表面网格处理方法,不仅可以减少网格噪声,但改善角度质量。我们的方法是基于每个顶点周围的局部曲面拟合使用最小二乘最小化技术。通过寻找周围多边形的最大内切圆(MIC)并将圆心投影到解析拟合曲面上来获得顶点的新位置。重复上述过程,直到最大顶点位移小于预定义阈值。通过曲面拟合和投影相结合的思想提高了网格的光滑度,同时利用基于MIC的投影方法保证了角度质量。在多种几何网格模型上的实验结果表明了该方法的有效性。
The smoothness and angle quality of a surface mesh are two important indicators of the “goodness” of the mesh for downstream applications such as visualization and numerical simulation. We present in this paper a novel surface mesh processing method not only to reduce mesh noise but to improve angle quality as well. Our approach is based on the local surface fitting around each vertex using the least square minimization technique. The new position of the vertex is obtained by finding the maximum inscribed circle (MIC) of the surrounding polygon and projecting the circle’s center onto the analytically fitted surface. The procedure above repeats until the maximal vertex displacement is less than a pre-defined threshold. The mesh smoothness is improved by a combined idea of surface fitting and projection, while the angle quality is achieved by utilizing the MIC-based projection scheme. Results on a variety of geometric mesh models have demonstrated the effectiveness of our method.
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