skip to main content
10.1145/3191801.3191811acmotherconferencesArticle/Chapter ViewAbstractPublication PagesiwiscConference Proceedingsconference-collections
research-article
Public Access

Fast fréchet distance between curves with long edges

Published:12 April 2018Publication History

ABSTRACT

Computing Fréchet distance between two curves takes roughly quadratic time. The only strongly subquadratic time algorithm has been proposed in [7] for c-packed curves. In this paper, we show that for curves with long edges the Fréchet distance computations become easier. Let P and Q be two polygonal curves in Rd with n and m vertices, respectively. We prove three main results for the case when all edges of both curves are long compared to the Fréchet distance between them: (1) a linear-time algorithm for deciding the Fréchet distance between two curves, (2) an algorithm that computes the Fréchet distance in O((n + m) log(n + m)) time, and (3) a linear-time [EQUATION]-approximation algorithm for approximating the Fréchet distance between two curves.

References

  1. 2016. North America Migration Flyways. (sep 2016). https://www.nps.gov/pais/learn/nature/birds.htmGoogle ScholarGoogle Scholar
  2. P.K. Agarwal, R.B. Avraham, H. Kaplan, and M. Sharir. 2014. Computing the Discrete Fréchet Distance in Subquadratic Time. SIAM J. Comput. 43 (2014), 429--449.Google ScholarGoogle ScholarCross RefCross Ref
  3. H. Alt and M. Godau. 1995. Computing the Fréchet Distance between two Polygonal Curves. International Journal of Computational Geometry and Applications 5, 1--2 (1995), 75--91.Google ScholarGoogle ScholarCross RefCross Ref
  4. K. Bringmann. 2014. Why Walking the Dog Takes Time: Fréchet Distance Has no Strongly Subquadtatic Algorithms unless SETH Fails. In Proceedings of the 55th IEEE Symposium on Foundations of Computer Science (FOCS). 226--236. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. K. Buchin, M. Buchin, C. Knauer, G. Rote, and C. Wenk. 2007. How difficult Is It to Walk you Dog?. In 32nd European Workshop on Computational Geometry. 170--173.Google ScholarGoogle Scholar
  6. K. Buchin, M. Buchin, W. Meulemans, and W. Mulzer. 2014. Four Soviets Walk the Dog - with an Application to Alt's Conjecture. In Proceeding of the 25th ACM-SIAM Symposium on Discrete Algorithms. 1399--1413. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. A. Driemel, S. Har-Peled, and C. Wenk. 2012. Approximating the Fréchet Distance for Realistic Curves in Near Linear Time. Discrete & Computational Geometry 48 (2012), 94--127. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. A. Efrat, L.J. Guibas, S. Har-Peled, J.S.B Mitchell, and T.M. Murali. 2002. New Similarity Meaures between Polylines with Applicatons yo Morphing and Polygon Sweeping. Discrete & Computational Geometry 28, 4 (2002), 535--569. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. J. Gudmundsson, P. Laube, and T. Wolle. 2007. Movement Pattern in Spatio Temporal Data (1st ed.). Springer-Verlag.Google ScholarGoogle Scholar
  10. M. Jiang, Y. Xu, and B. Zhu. 2008. Protein Structure-Structure Alignment with Discrete Fréchet Distance. Journal of Bioinformatics and Computational Biology 6, 1 (2008), 51--64.Google ScholarGoogle ScholarCross RefCross Ref
  11. R. Sriraghavendra, K. Karthik, and C. Bhattacharyya. 2007. Fréchet Distance based Approach for Searching Online Handwrittien Documents. In In Proceeding of 9th International Conference on Document Analysis and Recognition. 461--465. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Fast fréchet distance between curves with long edges

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      IWISC '18: Proceedings of the 3rd International Workshop on Interactive and Spatial Computing
      April 2018
      118 pages
      ISBN:9781450354394
      DOI:10.1145/3191801

      Copyright © 2018 ACM

      © 2018 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of the United States government. As such, the United States Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 12 April 2018

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader