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https://dx.doi.org/10.48550/ar...
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Coarse Quad Layouts Through Robust Simplification of Cross Field Separatrix Partitions

Authors: Ryan Viertel; Braxton Osting; Matthew L. Staten;

Coarse Quad Layouts Through Robust Simplification of Cross Field Separatrix Partitions

Abstract

Streamline-based quad meshing algorithms use smooth cross fields to partition surfaces into quadrilateral regions by tracing cross field separatrices. In practice, re-entrant corners and misalignment of singularities lead to small regions and limit cycles, negating some of the benefits a quad layout can provide in quad meshing. We introduce three novel methods to improve on a pipeline for coarse quad partitioning. First, we formulate an efficient method to compute high-quality cross fields on curved surfaces by extending the diffusion generated method from Viertel and Osting (SISC, 2019). Next, we introduce a method for accurately computing the trajectory of streamlines through singular triangles that prevents tangential crossings. Finally, we introduce a robust method to produce coarse quad layouts by simplifying the partitions obtained via naive separatrix tracing. Our methods are tested on a database of 100 objects and the results are analyzed. The algorithm performs well both in terms of efficiency and visual results on the database when compared to state-of-the-art methods.

Keywords

Computational Geometry (cs.CG), FOS: Computer and information sciences, cross fields, quad partitioning, Computer Science - Computational Geometry, quad meshing, surface decomposition

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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