TY - GEN
T1 - Pairwise Alignment and Compatibility for Arbitrary Irregular and Eroded Image Fragments
AU - Shahar, Ofir Itzhak
AU - Elkin, Gur
AU - Ben-Shahar, Ohad
N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2027.
PY - 2027/1/1
Y1 - 2027/1/1
N2 - Pairwise compatibility calculation is at the core of most archaeological reconstruction algorithms, in particular those designed to solve different types of jigsaw puzzle problems. However, most existing approaches fail, or aren’t designed to deal with fragments of realistic geometric properties one encounters in real-life puzzles, where irregular shapes or erosion are abundant. In practice, compatibility is typically needed, formulated, and assessed only for fragments with idealized, uniform, or strongly constrained shapes, limiting real-world applicability. In this paper, we propose an efficient approach for computing optimal alignment configurations for pairs of fragments and scoring their pictorial compatibility without any assumptions about their shapes, sizes, or visual content. We also propose evaluation metrics for pairwise compatibility, and introduce an extensive dataset containing pairs of fragments generated via a novel image fragmentation approach and a formal erosion model that mimics real-world archaeological erosion. We benchmark it with existing and new baselines, demonstrating the superior performance of our proposed approach.
AB - Pairwise compatibility calculation is at the core of most archaeological reconstruction algorithms, in particular those designed to solve different types of jigsaw puzzle problems. However, most existing approaches fail, or aren’t designed to deal with fragments of realistic geometric properties one encounters in real-life puzzles, where irregular shapes or erosion are abundant. In practice, compatibility is typically needed, formulated, and assessed only for fragments with idealized, uniform, or strongly constrained shapes, limiting real-world applicability. In this paper, we propose an efficient approach for computing optimal alignment configurations for pairs of fragments and scoring their pictorial compatibility without any assumptions about their shapes, sizes, or visual content. We also propose evaluation metrics for pairwise compatibility, and introduce an extensive dataset containing pairs of fragments generated via a novel image fragmentation approach and a formal erosion model that mimics real-world archaeological erosion. We benchmark it with existing and new baselines, demonstrating the superior performance of our proposed approach.
UR - https://www.scopus.com/pages/publications/105047676130
U2 - 10.1007/978-3-032-31438-3_11
DO - 10.1007/978-3-032-31438-3_11
M3 - Conference contribution
SN - 9783032314376
T3 - Lecture Notes in Computer Science
SP - 154
EP - 169
BT - Pattern Recognition - 28th International Conference, ICPR 2026, Proceedings
A2 - De Marsico, Maria
A2 - Ho, Tin Kam
A2 - Jurie, Frederic
A2 - Liu, Cheng-Lin
A2 - Lopresti, Daniel
A2 - Nyström, Ingela
A2 - Ogier, Jean-Marc
A2 - Ross, Arun
A2 - Wang, Liang
PB - Springer Science and Business Media Deutschland GmbH
T2 - 28th International Conference on Pattern Recognition, ICPR 2026
Y2 - 17 August 2026 through 22 August 2026
ER -