Maximum Flows by Incremental Breadth-First Search

  • Andrew V. Goldberg
  • Sagi Hed
  • Haim Kaplan
  • Robert E. Tarjan
  • Renato F. Werneck
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6942)

Abstract

Maximum flow and minimum s-t cut algorithms are used to solve several fundamental problems in computer vision. These problems have special structure, and standard techniques perform worse than the special-purpose Boykov-Kolmogorov (BK) algorithm. We introduce the incremental breadth-first search (IBFS) method, which uses ideas from BK but augments on shortest paths. IBFS is theoretically justified (runs in polynomial time) and usually outperforms BK on vision problems.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Andrew V. Goldberg
    • 1
  • Sagi Hed
    • 2
  • Haim Kaplan
    • 2
  • Robert E. Tarjan
    • 3
  • Renato F. Werneck
    • 1
  1. 1.Microsoft Research Silicon ValleyUSA
  2. 2.Tel Aviv UniversityIsrael
  3. 3.Princeton University and HP LabsUSA

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