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arXiv · 1610.07368

Simplification of Multi-Scale Geometry using Adaptive Curvature Fields

Patrick Seemann·Simon Fuhrmann·Stefan Guthe·Fabian Langguth·Michael Goesele
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Abstract

We present a novel algorithm to compute multi-scale curvature fields on triangle meshes. Our algorithm is based on finding robust mean curvatures using the ball neighborhood, where the radius of a ball corresponds to the scale of the features. The essential problem is to find a good radius for each ball to obtain a reliable curvature estimation. We propose an algorithm that finds suitable radii in an automatic way. In particular, our algorithm is applicable to meshes produced by image-based reconstruction systems. These meshes often contain geometric features at various scales, for example if certain regions have been captured in greater detail. We also show how such a multi-scale curvature field can be converted to a density field and used to guide applications like mesh simplification.

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Patrick Seemann, Simon Fuhrmann, Stefan Guthe, Fabian Langguth, Michael Goesele. 2016-10-24. Simplification of Multi-Scale Geometry using Adaptive Curvature Fields. https://arxiv.org/abs/1610.07368

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