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• W2475120973 abstract "In this paper we propose a novel method to construct hierarchical hp-adaptive Signed Distance Fields (SDFs). We discretize the signed distance function of an input mesh using piecewise polynomials on an axis-aligned hexahedral grid. Besides spatial refinement based on octree subdivision to refine the cell size (h), we hierarchically increase each cell's polynomial degree (p) in order to construct a very accurate but memory-efficient representation. Presenting a novel criterion to decide whether to apply h- or p-refinement, we demonstrate that our method is able to construct more accurate SDFs at significantly lower memory consumption than previous approaches. Finally, we demonstrate the usage of our representation as collision detector for geometrically highly complex solid objects in the application area of physically-based simulation." @default.
• W2475120973 created "2016-07-22" @default.
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• W2475120973 date "2016-07-11" @default.
• W2475120973 modified "2023-10-01" @default.
• W2475120973 title "Hierarchical hp-adaptive signed distance fields" @default.
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• W2475120973 doi "https://doi.org/10.5555/2982818.2982844" @default.
• W2475120973 hasPublicationYear "2016" @default.
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