Elastic image matching is NP-complete

  • Authors:
  • Daniel Keysers;Walter Unger

  • Affiliations:
  • Lehrstuhl für Informatik VI, Department of Computer Science, RWTH Aachen--University of Technology, D-52056 Aachen, Germany;Lehrstuhl für Informatik, I, Department of Computer Science, RWTH Aachen--University of Technology, D-52056 Aachen, Germany

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 2003

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Abstract

One fundamental problem in image recognition is to establish the resemblance of two images. This can be done by searching the best pixel to pixel mapping taking into account monotonicity and continuity constraints. We show that this problem is NP-complete by reduction from 3-SAT, thus giving evidence that the known exponential time algorithms are justified, but approximation algorithms or simplifications are necessary.