Computer Science – Computational Geometry
Scientific paper
2007-06-14
Boundary measures for geometric inference, Found. Comput. Math., 10 (2), pp. 221-240, 2010
Computer Science
Computational Geometry
Scientific paper
10.1007/s10208-009-9056-2
We introduce the boundary measure at scale r of a compact subset of the n-dimensional Euclidean space. We show how it can be computed for point clouds and suggest these measures can be used for feature detection. The main contribution of this work is the proof a quantitative stability theorem for boundary measures using tools of convex analysis and geometric measure theory. As a corollary we obtain a stability result for Federer's curvature measures of a compact, allowing to compute them from point-cloud approximations of the compact.
Chazal Frédéric
Cohen-Steiner David
Merigot Quentin
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