Optimizing Triangulation of Implicit Surface Based on Quadric Error Metrics

Mingqiang Wei, M. Pang, Z. Pan
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Abstract

In this paper, based on quadric error metrics, we present an hybrid approach to optimize triangulation created from implicit surface with sharp features. The approach first uses a resampling process to update vertices positions of initial triangulation. A dual mesh of the triangulation is at the same time constructed to restrict the updated positions and to project the new positions onto the implicit surface. Each vertex position of the updated triangulation is then optimized by minimizing the squared distances from the vertex to tangent planes of the implicit surface at the corresponding vertex of the modified dual mesh. The optimization process combines with a curvature-dependent adaptive mesh subdivision. Our method uses an error metrics to measure deviation between the vertices in final triangulation and the implicit surface.
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基于二次误差度量的隐式曲面三角剖分优化
在本文中,我们提出了一种基于二次误差度量的混合方法来优化由具有尖锐特征的隐式曲面创建的三角剖分。该方法首先使用重采样过程来更新初始三角测量的顶点位置。同时构造了三角剖分的双重网格来限制更新后的位置,并将新位置投影到隐式曲面上。然后通过最小化修改后的双网格对应顶点的隐式曲面切平面的顶点距离的平方来优化更新三角剖分的每个顶点位置。优化过程与曲率相关的自适应网格细分相结合。我们的方法使用误差度量来测量最终三角化顶点与隐式曲面之间的偏差。
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