Skip to main navigation Skip to search Skip to main content

Getting around a lower bound for the minimum Hausdorff distance

    Research output: Contribution to journalArticlepeer-review

    16 Scopus citations

    Abstract

    We consider the following geometric pattern matching problem: find the minimum Hausdorff distance between two point sets under translation with L1 or L as the underlying metric. Huttenlocher, Kedem and Sharir have shown that this minimum distance can be found by constructing the upper envelope of certain Voronoi surfaces. Further, they show that if the two sets are each of cardinality n then the complexity of the upper envelope of such surfaces is Ω(n3). We examine the question of whether one can get around this cubic lower bound, and show that under the L1 and L metrics, the time to compute the minimum Hausdorff distance between two point sets is O(n2 log2 n).

    Original languageEnglish
    Pages (from-to)197-202
    Number of pages6
    JournalComputational Geometry: Theory and Applications
    Volume10
    Issue number3
    DOIs
    StatePublished - 1 Jan 1998

    Keywords

    • Algorithm
    • Approximate matching
    • Geometric pattern matching
    • Optimization
    • Segment tree

    ASJC Scopus subject areas

    • Computer Science Applications
    • Geometry and Topology
    • Control and Optimization
    • Computational Theory and Mathematics
    • Computational Mathematics

    Fingerprint

    Dive into the research topics of 'Getting around a lower bound for the minimum Hausdorff distance'. Together they form a unique fingerprint.

    Cite this