Exploring the Effects of Support Restoration on Pictorial Layers Through Multi-Resolution 3D Survey

Year: 2025

Authors: Vannini E., Belardi S., Lunghi I., Dal Fovo A., Fontana R.

Autors Affiliation: CNR, Natl Inst Opt CNR INO, Largo E Fermi 6, I-50125 Florence, FI, Italy; Univ Florence, Dept Phys & Astron, Via Sansone 1, I-50019 Sesto Fiorentino, FI, Italy; Univ Florence, Sch Math Phys & Nat Sci, Viale Morgagni 40-44, I-50134 Florence, FI, Italy; Univ Florence, Dept Chem Ugo Schiff, Via Lastruccia 3-13, I-50019 Sesto Fiorentino, FI, Italy.

Abstract: Three-dimensional (3D) reproduction of artworks has advanced significantly, offering valuable insights for conservation by documenting the objects’ conservative state at both macroscopic and microscopic scales. This paper presents the 3D survey of an earthquake-damaged panel painting, whose wooden support suffered severe deformation during a seismic event, posing unique restoration challenges. Our work focuses on quantifying how shape variations in the support-induced during restoration-affect the surface morphology of the pictorial layers. To this end, we conducted measurements before and after support consolidation using two complementary 3D techniques: structured-light projection to generate 3D models of the painting, tracking global shape changes in the panel, and laser-scanning microprofilometry to produce high-resolution models of localized areas, capturing surface morphology, superficial cracks, and pictorial detachments. By processing and cross-comparing 3D point cloud data from both techniques, we quantified shape variations and evaluated their impact on the pictorial layers. This approach demonstrates the utility of multi-scale 3D documentation in guiding complex restoration interventions.

Journal/Review: REMOTE SENSING

Volume: 17 (14)      Pages from: 2487-1  to: 2487-19

More Information: This research was funded by the project PNRR CHANGES (Cultural Heritage Active Innovation for Sustainable Society) Project (PE_00000020), CUP_D53C22002560006, funded by the European Union-Next Generation EU M4.C2.1.3 and PNRR H2IOSC (Humanities and Cultural Heritage ItalianOpen Science Cloud) Project (IR0000029), CUP_B63C22000730005, funded by Next Generation EU. The structured-light scanner Micron3D color was acquired through the project PIR01_00016 SHINE-Potenziamento dei nodi italiani in E-RIHS, funded by M.I.U.R.-Azione II.1 del P.O.N. Ricerca e Innovazione 2014-2020, CUP B27E19000030007.
KeyWords: 3D survey; cultural heritage; point cloud data processing; shape deformation; surface morphology; multi-temporal monitoring
DOI: 10.3390/rs17142487