An Unified λ-subdivision Scheme for Quadrilateral Meshes with Optimal Curvature Performance in Extraordinary Regions

Weiyin Ma, Xu Wang, Yue Ma
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Abstract

We propose an unified λ-subdivision scheme with a continuous family of tuned subdivisions for quadrilateral meshes. Main subdivision stencil parameters of the unified scheme are represented as spline functions of the subdominant eigenvalue λ of respective subdivision matrices and the λ value can be selected within a wide range to produce desired properties of refined meshes and limit surfaces with optimal curvature performance in extraordinary regions. Spline representations of stencil parameters are constructed based on discrete optimized stencil coefficients obtained by a general tuning framework that optimizes eigenvectors of subdivision matrices towards curvature continuity conditions. To further improve the quality of limit surfaces, a weighting function is devised to penalize sign changes of Gauss curvatures on respective second order characteristic maps. By selecting an appropriate λ, the resulting unified subdivision scheme produces anticipated properties towards different target applications, including nice properties of several other existing tuned subdivision schemes. Comparison results also validate the advantage of the proposed scheme with higher quality surfaces for subdivision at lower λ values, a challenging task for other related tuned subdivision schemes.
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非凡区域曲率性能最佳的四边形网格统一 λ 细分方案
针对四边形网格,提出了一种具有连续调优细分族的统一λ-细分方案。统一方案的主要细分模板参数表示为各自细分矩阵的次优势特征值λ的样条函数,λ值可以在很宽的范围内选择,以在特殊区域产生理想的细化网格和曲率性能最优的极限曲面。通过对细分矩阵特征向量进行曲率连续条件优化的通用调优框架,得到离散优化的模板系数,并以此为基础构造模板参数的样条表示。为了进一步提高极限曲面的质量,设计了一个加权函数来惩罚高斯曲率在各自二阶特征映射上的符号变化。通过选择合适的λ,所得到的统一细分方案产生针对不同目标应用程序的预期属性,包括其他几种现有调优细分方案的良好属性。对比结果还验证了该方案在较低λ值下具有更高质量曲面的细分优势,这对于其他相关的调谐细分方案来说是一项具有挑战性的任务。
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