Computing the Multicover Bifiltration
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Abstract (arXiv)
Given a finite set Asubsetℝd, let Covr,k denote the set of all points within distance r to at least k points of A. Allowing r and k to vary, we obtain a 2-parameter family of spaces that grow larger when r increases or k decreases, called the multicover bifiltration. Motivated by the problem of computing the homology of this bifiltration, we introduce two closely related combinatorial bifiltrations, one polyhedral and the other simplicial, which are both topologically equivalent to the multicover bifiltration and far smaller than a v Cech-based model considered in prior work of Sheehy. Our polyhedral construction is a bifiltration of the rhomboid tiling of Edelsbrunner and Osang, and can be efficiently computed using a variant of an algorithm given by these authors. Using an implementation for dimension 2 and 3, we provide experimental results. Our simplicial construction is useful for understanding the polyhedral construction and proving its correctness.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 14 Mar 2021.
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Citing papers per year: 2022: 1; 2023: 0; 2024: 0; 2025: 1; 2026: 2.
4 papers.
- 2025Rhomboid Tiling for Geometric Graph Deep Learningcited by 1
- 2022Detection of Small Holes by the Scale-Invariant Robust Density-Aware Distance (RDAD) Filtrationcited by 0
- 2026G-LoG Bi-filtration for Medical Image Classificationcited by 0
- 2026The sublevel Flood bifiltration: towards scalable 2-parameter persistent homologycited by 0
- 2026The sublevel Flood bifiltration: towards scalable 2-parameter persistent homology4 Oct 2026
- 2026G-LoG Bi-filtration for Medical Image Classification20 Feb 2026
- 2025Rhomboid Tiling for Geometric Graph Deep Learning14 May 2025
- 2022Detection of Small Holes by the Scale-Invariant Robust Density-Aware Distance (RDAD) Filtration16 Apr 2022