Giovanni Tagliaferri
Learning to Reassemble the Past: Improving Fracture Surface Segmentation for 3D Fragment Reconstruction.
Rel. Fabrizio Lamberti, Alberto Cannavo', Federico Boscolo, Federico Taverni. Politecnico di Torino, Master of science program in Computer Engineering, 2026
Abstract
The integration of digital technology in the museum field provides essential support for the preservation of cultural heritage. Specifically, the reassembly of fractured artifacts is an innovative task with a wide range of real-world applications. In the archaeological world, the restoration of broken ancient finds allows us to preserve cultural heritage and bring these artifacts back to life. This thesis work, undertaken in collaboration with the Museo Egizio of Torino, aims to present new techniques for the reconstruction of fractured ancient artifacts. This is particularly relevant for the Museum's collections, where the time required for an archaeologist to manually assemble a storage full of fragmented items is prohibitive.
The present project focuses on enhancing existing machine learning approaches in order to adapt them to the reassembly task
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