Abstract
Given a curve P with points in ℝd in a streaming fashion, and parameters ϵ > 0 and k, we construct a distance oracle that uses space, and given a query curve Q with k points in ℝd returns in time a 1+ϵ approximation of the discrete Fréchet distance between Q and P.In addition, we construct simplifications in the streaming model, oracle for distance queries to a sub-curve (in the static setting), and introduce the zoom-in problem. Our algorithms work in any dimension d, and therefore we generalize some useful tools and algorithms for curves under the discrete Fréchet distance to work efficiently in high dimensions.
Original language | English |
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Article number | 39 |
Journal | ACM Transactions on Algorithms |
Volume | 19 |
Issue number | 4 |
DOIs | |
State | Published - 25 Oct 2023 |
Bibliographical note
Publisher Copyright:© 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.
Keywords
- Fréchet distance
- distance oracle
- high dimension
- simplification
- streaming algorithm
- the "zoom in" problem