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Article

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

by
Emma Vannini
1,2,
Silvia Belardi
3,
Irene Lunghi
1,4,
Alice Dal Fovo
1,* and
Raffaella Fontana
1
1
National Research Council—National Institute of Optics (CNR-INO), Largo E. Fermi 6, 50125 Firenze, FI, Italy
2
Department of Physics and Astronomy, University of Florence, Via Sansone 1, 50019 Sesto Fiorentino, FI, Italy
3
School of Mathematical, Physical and Natural Sciences, University of Florence, Viale Morgagni 40/44, 50134 Firenze, FI, Italy
4
Department of Chemistry “Ugo Schiff”, University of Florence, Via della Lastruccia 3-13, 50019 Sesto Fiorentino, FI, Italy
*
Author to whom correspondence should be addressed.
Remote Sens. 2025, 17(14), 2487; https://doi.org/10.3390/rs17142487
Submission received: 9 June 2025 / Revised: 15 July 2025 / Accepted: 16 July 2025 / Published: 17 July 2025
(This article belongs to the Special Issue New Insight into Point Cloud Data Processing)

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.
Keywords: 3D survey; cultural heritage; point cloud data processing; shape deformation; surface morphology; multi-temporal monitoring 3D survey; cultural heritage; point cloud data processing; shape deformation; surface morphology; multi-temporal monitoring

Share and Cite

MDPI and ACS Style

Vannini, E.; Belardi, S.; Lunghi, I.; Dal Fovo, A.; Fontana, R. Exploring the Effects of Support Restoration on Pictorial Layers Through Multi-Resolution 3D Survey. Remote Sens. 2025, 17, 2487. https://doi.org/10.3390/rs17142487

AMA Style

Vannini E, Belardi S, Lunghi I, Dal Fovo A, Fontana R. Exploring the Effects of Support Restoration on Pictorial Layers Through Multi-Resolution 3D Survey. Remote Sensing. 2025; 17(14):2487. https://doi.org/10.3390/rs17142487

Chicago/Turabian Style

Vannini, Emma, Silvia Belardi, Irene Lunghi, Alice Dal Fovo, and Raffaella Fontana. 2025. "Exploring the Effects of Support Restoration on Pictorial Layers Through Multi-Resolution 3D Survey" Remote Sensing 17, no. 14: 2487. https://doi.org/10.3390/rs17142487

APA Style

Vannini, E., Belardi, S., Lunghi, I., Dal Fovo, A., & Fontana, R. (2025). Exploring the Effects of Support Restoration on Pictorial Layers Through Multi-Resolution 3D Survey. Remote Sensing, 17(14), 2487. https://doi.org/10.3390/rs17142487

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