具有流形保证的极值曲面多边形化

Ruosi Li, Lu Liu, Ly Phan, S. S. Abeysinghe, C. Grimm, T. Ju
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引用次数: 18

摘要

极值曲面是一类隐式曲面,在各种几何重建应用中都很有用。与等曲面相比,极端曲面的构造尤其具有挑战性,部分原因是边界的存在和缺乏一致的方向。我们提出了一种新的基于网格的算法,用于构造可能是开放的或不可定向的极值表面的多边形近似。该算法实现简单,适用于均匀网格结构和自适应网格结构。更重要的是,得到的离散曲面以网格无关的方式保留了极值曲面的结构特性。该算法用于从强度体中提取脊面,并从无方向法线的点集中重构曲面。
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Polygonizing extremal surfaces with manifold guarantees
Extremal surfaces are a class of implicit surfaces that have been found useful in a variety of geometry reconstruction applications. Compared to iso-surfaces, extremal surfaces are particularly challenging to construct in part due to the presence of boundaries and the lack of a consistent orientation. We present a novel, grid-based algorithm for constructing polygonal approximations of extremal surfaces that may be open or unorientable. The algorithm is simple to implement and applicable to both uniform and adaptive grid structures. More importantly, the resulting discrete surface preserves the structural property of the extremal surface in a grid-independent manner. The algorithm is applied to extract ridge surfaces from intensity volumes and reconstruct surfaces from point sets with unoriented normals.
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