Light and 3D: a methodological exploration of digitisation techniques adapted to a selection of objects from the Mus{\'e}e d'Arch{\'e}ologie Nationale
Antoine Laurent (TRACES, IRIT-REVA, Toulouse INP), Jean M\'elou (IRIT-REVA, Toulouse INP), Catherine Schwab (TEMPS), Rolande Simon-Millot (ARTeHiS), Sophie F\'eret (Inrap, GAMA), Thomas Sagory, Carole Fritz (MSHS-T, LAMS), Jean-Denis Durou (IRIT-REVA, Toulouse INP)

TL;DR
This paper explores various photographic 3D digitization methods for heritage objects, emphasizing that the choice of technique should be tailored to each object's characteristics and intended future use, rather than seeking a universal solution.
Contribution
It demonstrates that no single digitization method fits all heritage objects and advocates for a collaborative, case-by-case approach to selecting the most suitable digital tools.
Findings
Different objects require different digitization techniques.
A tailored approach improves the quality and utility of digital twins.
No universal digitization method is optimal for all heritage objects.
Abstract
The need to digitize heritage objects is now widely accepted. This article presents the very fashionable context of the creation of ''digital twins''. It illustrates the diversity of photographic 3D digitization methods, but this is not its only objective. Using a selection of objects from the collections of the mus{\'e}e d'Arch{\'e}ologie nationale, it shows that no single method is suitable for all cases. Rather, the method to be recommended for a given object should be the result of a concerted choice between those involved in heritage and those involved in the digital domain, as each new object may require the adaptation of existing tools. It would therefore be pointless to attempt an absolute classification of 3D digitization methods. On the contrary, we need to find the digital tool best suited to each object, taking into account not only its characteristics, but also the future…
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Taxonomy
Topics3D Surveying and Cultural Heritage · 3D Modeling in Geospatial Applications · Image Processing and 3D Reconstruction
