Hyper-dimensional Visualization of Cultural Heritage: A Novel Multi-analytical Approach on 3D Pomological Models in the Collection of the University of Milan
Articolo
Data di Pubblicazione:
2022
Citazione:
Hyper-dimensional Visualization of Cultural Heritage: A Novel Multi-analytical Approach on 3D Pomological Models in the Collection of the University of Milan / E. Grifoni, L. Bonizzoni, M. Gargano, J. Melada, N. Ludwig, S. Bruni, I. Mignani. - In: ACM JOURNAL ON COMPUTING AND CULTURAL HERITAGE. - ISSN 1556-4673. - 15:2(2022 Jun), pp. 34.1-34.15. [10.1145/3477398]
Abstract:
Digital close-range photogrammetry allows us to acquire high-fidelity tridimensional models useful to document cultural
heritage objects with an impressive level of detail. In addition, this technique carries a strong analytical potentiality, able to
gain improved knowledge of cultural objects and their preservation conditions. This project is focused on a comprehensive
diagnostic survey using 3D multispectral modeling, high-resolution digital radiography, pulsed thermography, XRF, FT-IR,
and FORS spectroscopies to document and characterize from a conservative point of view the poly-material objects that
belong to the “Garnier Valletti” pomological collection—a unique collection from both scientific and artistic points of view.
The analytical integration of imaging techniques, 3D modeling, and spectroscopic techniques provides information from
the surface, sub-surface, and innermost layers of the object, respectively, capturing both accurate morphometric, spectral,
and compositional data. The article presents the results obtained on typical poly-material and multilayered objects of this
collection for which the combination of the considered techniques provided important data to the technical knowledge of
the realization highlighting a particular predictive ability from a conservative point of view
Tipologia IRIS:
01 - Articolo su periodico
Keywords:
3D digitalization; materials characterization; multispectral imaging; ND techniques; photogrammetry; pomological models; virtual color reconstruction;
Elenco autori:
E. Grifoni, L. Bonizzoni, M. Gargano, J. Melada, N. Ludwig, S. Bruni, I. Mignani
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