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

📅 2025-06-05
📈 Citations: 0
Influential: 0
📄 PDF
🤖 AI Summary
Archaeological heritage institutions face significant challenges in selecting appropriate 3D digitization techniques due to poor technical fit between heterogeneous artifact characteristics and standardized classification schemes. Method: This paper proposes an “object-driven” dynamic adaptation paradigm that abandons generic taxonomies and instead grounds technology selection on two co-determining criteria: (i) intrinsic artifact properties—particularly optical–morphological interaction behaviors—and (ii) the specific requirements of the intended digital twin application. A multi-modal optical acquisition pipeline—including multi-view photogrammetry, structured-light scanning, HDR imaging, and illumination modeling—is implemented in a case study at the French National Archaeological Museum. Contribution/Results: Empirical validation across six representative material–form combinations demonstrates marked, interpretable differences in optimal technical pathways. The resulting methodological framework is reproducible and advances cultural heritage digitization from experience-based practice toward coordinated, feature-informed, and use-case-driven customization.

Technology Category

Application Category

📝 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 use of its digital twin.
Problem

Research questions and friction points this paper is trying to address.

Exploring diverse 3D digitization methods for heritage objects
No universal 3D digitization method suits all archaeological artifacts
Selecting optimal digitization tools requires object-specific and usage considerations
Innovation

Methods, ideas, or system contributions that make the work stand out.

Diverse 3D digitization methods for heritage objects
Customized tool adaptation per object's needs
Collaborative choice between heritage and digital experts
🔎 Similar Papers
No similar papers found.
Antoine Laurent
Antoine Laurent
LIUM, Le Mans Université
Automatic Speech RecognitionMachine LearningDeep Learning
J
Jean Mélou
Institut national polytechnique de Toulouse (INPT) et Institut de recherche en informatique de Toulouse (IRIT)
C
Catherine Schwab
conservatrice en chef du patrimoine, responsable des collections paléolithiques et mésolithiques, musée d'Archéologie nationale, Saint-Germain-en-Laye
R
Rolande Simon-Millot
conservatrice en chef du patrimoine, responsable des collections néolithique et âge du Bronze, musée d'Archéologie nationale, Saint-Germain-en-Laye
S
Sophie Feret
conservatrice en chef du patrimoine, responsable des collections de Gaule romaine, musée d'Archéologie nationale, Saint-Germain-en-Laye
T
Thomas Sagory
contractuel, responsable du développement numérique, musée d'Archéologie nationale, Saint-Germain-en-Laye