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Paper

Authors: Ben Vardi 1 ; Alessandro Torcinovich 2 ; Marina Khoroshiltseva 2 ; 3 ; Marcello Pelillo 2 ; 4 and Ohad Ben-Shahar 1

Affiliations: 1 Ben-Gurion University of the Negev, Be’er-Sheva, Israel ; 2 Ca’ Foscari University of Venice, Venice, Italy ; 3 Istituto Italiano di Tecnologia, Genoa, Italy ; 4 European Centre of Living Technology, Venice, Italy

Keyword(s): Puzzle Solving, Square Jigsaw Puzzles, Relaxation Labeling.

Abstract: We present a novel method for solving square jigsaw puzzles based on global optimization. The method is fully automatic, assumes no prior information, and can handle puzzles with known or unknown piece orientation. At the core of the optimization process is nonlinear relaxation labeling, a well-founded approach for deducing global solutions from local constraints, but unlike the classical scheme here we propose a multi-phase approach that guarantees convergence to feasible puzzle solutions. Next to the algorithmic novelty, we also present a new compatibility function for the quantification of the affinity between adjacent puzzle pieces. Competitive results and the advantage of the multi-phase approach are demonstrated on standard datasets.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Vardi, B. ; Torcinovich, A. ; Khoroshiltseva, M. ; Pelillo, M. and Ben-Shahar, O. (2023). Multi-Phase Relaxation Labeling for Square Jigsaw Puzzle Solving. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP; ISBN 978-989-758-634-7; ISSN 2184-4321, SciTePress, pages 785-795. DOI: 10.5220/0011622800003417

@conference{visapp23,
author={Ben Vardi and Alessandro Torcinovich and Marina Khoroshiltseva and Marcello Pelillo and Ohad Ben{-}Shahar},
title={Multi-Phase Relaxation Labeling for Square Jigsaw Puzzle Solving},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP},
year={2023},
pages={785-795},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011622800003417},
isbn={978-989-758-634-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP
TI - Multi-Phase Relaxation Labeling for Square Jigsaw Puzzle Solving
SN - 978-989-758-634-7
IS - 2184-4321
AU - Vardi, B.
AU - Torcinovich, A.
AU - Khoroshiltseva, M.
AU - Pelillo, M.
AU - Ben-Shahar, O.
PY - 2023
SP - 785
EP - 795
DO - 10.5220/0011622800003417
PB - SciTePress

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