Jigsaw Puzzle Solving as a Consistent Labeling Problem

Marina Khoroshiltseva, Ben Vardi, Alessandro Torcinovich, Arianna Traviglia, Ohad Ben-Shahar, Marcello Pelillo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

We explore the idea of abstracting the jigsaw puzzle problem as a consistent labeling problem, a classical concept introduced in the1980 s by Hummel and Zucker for which a solid theory and powerful algorithms are available. The problem amounts to maximizing a well-known quadratic function over a probability space which we solve using standard relaxation labeling algorithms endowed with matrix balancing mechanisms to enforce one-to-one correspondence constraints. Preliminary experimental results on publicly available datasets demonstrate the feasibility of the proposed approach.

Original languageEnglish
Title of host publicationComputer Analysis of Images and Patterns - 19th International Conference, CAIP 2021, Proceedings
EditorsNicolas Tsapatsoulis, Andreas Panayides, Theo Theocharides, Andreas Lanitis, Andreas Lanitis, Constantinos Pattichis, Constantinos Pattichis, Mario Vento
PublisherSpringer Science and Business Media Deutschland GmbH
Pages392-402
Number of pages11
ISBN (Print)9783030891305
DOIs
StatePublished - 1 Jan 2021
Event19th International Conference on Computer Analysis of Images and Patterns, CAIP 2021 - Virtual, Online
Duration: 28 Sep 202130 Sep 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13053 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Conference on Computer Analysis of Images and Patterns, CAIP 2021
CityVirtual, Online
Period28/09/2130/09/21

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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