Computational techniques for virtual reconstruction of fragmented archaeological textiles

Archaeological artifacts play important role in understanding the past developments of the humanity. However, the artifacts are often highly fragmented and degraded, with many details and parts missing due to centuries’ long degradation. Archaeologists and conservators attempt to reconstruct the ori...

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Bibliographic Details
Published in:Heritage science 2023-12, Vol.11 (1), p.259-16, Article 259
Main Authors: Gigilashvili, Davit, Lukesova, Hana, Gulbrandsen, Casper Fabian, Harijan, Akash, Hardeberg, Jon Yngve
Format: Article
Language:English
Subjects:
Advanced Analytical Techniques for Heritage Textiles
Archaeological textiles
Archaeology
Chemistry and Materials Science
Cultural heritage
Cultural resources
Fragments
Historic artifacts
Labor
Materials Science
Physical work
Puzzling solving
Reconstruction
State-of-the-art reviews
Textiles
Virtual reconstruction
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Summary:Archaeological artifacts play important role in understanding the past developments of the humanity. However, the artifacts are often highly fragmented and degraded, with many details and parts missing due to centuries’ long degradation. Archaeologists and conservators attempt to reconstruct the original state of the objects either physically or virtually. This process includes characterizing and matching fragments’ features to identify which ones belong together. However, this process currently requires an extensive and tedious manual labor. Recent development in computational techniques gave rise to computer-assisted ways of virtual reconstruction, where the computer suggests solutions to the puzzle of scattered fragments and supplements or fully replaces manual labor. However, the capabilities of computational techniques remain limited in many aspects. This review summarizes the state-of-the-art computational techniques for puzzle and virtual reconstruction problems in cultural heritage applications, in general – with a particular interest in archaeological textiles. We overview existing computational methods, their applications and limitations. Afterward, based on the current knowledge gaps, we discuss where the field should go next.
ISSN:2050-7445
2050-7445
DOI:10.1186/s40494-023-01102-3