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Partial Optimality via Iterative Pruning for the Potts Model

  • Paul Swoboda
  • Bogdan Savchynskyy
  • Jörg Kappes
  • Christoph Schnörr
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7893)

Abstract

We propose a novel method to obtain a part of an optimal non-relaxed integral solution for energy minimization problems with Potts interactions, known also as the minimal partition problem. The method empirically outperforms previous approaches likeMQPBO and Kovtun’s method in most of our test instances and especially in hard ones. As a starting point our approach uses the solution of a commonly accepted convex relaxation of the problem. This solution is then iteratively pruned until our criterion for partial optimality is satisfied. Due to its generality our method can employ any solver for the considered relaxed problem.

Keywords

Potts Model Segmentation Problem Partial Optimality Energy Minimization Problem Optimal Label 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Paul Swoboda
    • 1
  • Bogdan Savchynskyy
    • 2
  • Jörg Kappes
    • 1
  • Christoph Schnörr
    • 1
    • 2
  1. 1.Image and Pattern Analysis GroupUniversity of HeidelbergGermany
  2. 2.Heidelberg Collaboratory for Image ProcessingUniversity of HeidelbergGermany

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