| KEYWORD |
Digital reconstruction of Egyptian archeological remains in fragmentary state
Tesi esterna in azienda
Parole chiave INTELLIGENZA ARTIFICIALE, MACHINE LEARNING, MUSEI, PATRIMONIO CULTURALE, RICOSTRUZIONI DIGITALI
Riferimenti FABRIZIO LAMBERTI
Gruppi di ricerca DAUIN - GR-09 - GRAphics and INtelligent Systems - GRAINS
Tipo tesi TESI IN COLLAB. CON AZIENDA
Descrizione The aim of this thesis, to be developed in collaboration with the Egyptian Museum in Turin, is to develop an algorithm able to reconstruct in a digital way the fragments of archeological remains by analyzing the fracture surfaces of the single pieces. The algorithm could be first tested on a “modern” object reduced to pieces, and then applied to a use case to be agreed with the Museum (e.g., stone fragments from a statuary group, decorated floor or ceiling pieces, ceramic parts, etc.). The match between two fragments shall be identified based on the analysis of the geometries, not of the possible color information that could still be visible on the surface. The algorithm should provide a confidence score for the various matches identified. 3D geometries will be provided by the Museum. These geometries will be created using the Artec Space Spider, a structured light scanner capable to produce meshes with a resolution up to 0.1 mm.
Suggested readings:
https://www.sciencedirect.com/science/article/abs/pii/S1296207422000826
https://ieeexplore.ieee.org/document/4697243
https://www.researchgate.net/publication/333161346_Reassembling_Fractured_Objects_by_Geometric_Matching
https://www.academia.edu/51368373/Automated_reconstruction_of_fragmented_objects_using_their_3D_representation_Application_to_important_archaeological_finds
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231500/
Vedi anche http://grains.polito.it/work.php
Scadenza validita proposta 31/07/2023
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