Papers โ€บ Delaunay Bifiltrations of Functions on Point Clouds

Delaunay Bifiltrations of Functions on Point Clouds

24 Oct 2023arXiv:2310.15902links table onlyarchive 2025-07-28

รngel Javier Alonso, Michael Kerber, Tung Lam, Michael Lesnick

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The Delaunay filtration ๐’Ÿ_โˆ™(X) of a point cloud XโŠ‚โ„แตˆ is a central tool of computational topology. Its use is justified by the topological equivalence of ๐’Ÿ_โˆ™(X) and the offset (i.e., union-of-balls) filtration of X. Given a function ฮณ: X โ†’โ„, we introduce a Delaunay bifiltration ๐’Ÿ๐’ž_โˆ™(ฮณ) that satisfies an analogous topological equivalence, ensuring that ๐’Ÿ๐’ž_โˆ™(ฮณ) topologically encodes the offset filtrations of all sublevel sets of ฮณ, as well as the topological relations between them. ๐’Ÿ๐’ž_โˆ™(ฮณ) is of size O(|X|^(โŒˆ(d+1)/2โŒ‰)), which for d odd matches the worst-case size of ๐’Ÿ_โˆ™(X). Adapting the Bowyer-Watson algorithm for computing Delaunay triangulations, we give a simple, practical algorithm to compute ๐’Ÿ๐’ž_โˆ™(ฮณ) in time O(|X|^(โŒˆd/2โŒ‰+1)). Our implementation, based on CGAL, computes ๐’Ÿ๐’ž_โˆ™(ฮณ) with modest overhead compared to computing ๐’Ÿ_โˆ™(X), and handles tens of thousands of points in โ„ยณ within seconds.

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davidlapous/multipers mentioned on GitHubpytorchGPL-3.0 report

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