Combined 3D Surveying and Raman Spectroscopy Techniques on Artifacts Preserved at Archaeological Museum of Lipari

Giuffrida, Daniele; Nardo, Viviana Mollica; Giacobello, Fausta; Adinolfi, Oreste; Mastelloni, M. A.; Toscano, Giovanna; Ponterio, Rosina Celeste

doi:10.3390/heritage2030121

Cited by 5 publications

(4 citation statements)

References 9 publications

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“…Since a large number of exhibits have already been acquired and processed (Giuffrida et al, 2019) and many more will be acquired in the future, the next goal is to create a database where 3D models can be stored for study purposes; at the same time, the plan is to create an interactive online showcase where the archaeological information and the results of the analyzes are associated with the 3D models.…”

Section: Discussionmentioning

confidence: 99%

“…Since May 2018, several measurement campaigns have been performed in situ through portable and handheld instrumentation (a Raman Spectroscopy and a 3D scanning device), basing on the different issues needed by each artefact. The first report including 12 theatrical clay masks, two figured calyx craters, a stone arula (miniaturistic altar) interested by an inscription difficult to read, a fragmentary clay head and a lid of lekane (large vessel) has been published by Giuffrida et al (2019). This paper, specifically, concerns one of the most interesting and debating theatrical masks found in Lipari: the mask No.…”

Section: Introductionmentioning

confidence: 98%

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A theatrical double-faced mask preserved at the Museum of Lipari (Messina): study and 3D reconstruction through portable equipment

Giuffrida

Nardo

Adinolfi

et al. 2021

Virtual archaeol. rev.

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The new tools for 3D survey and modelling (as portable scanners and software packages), often in combination with diagnostics, are nowadays able to provide indispensable elements for the study of archaeological artefacts; their applications to museum’s heritage can be also useful to integrate the traditional graphic documentation and contribute to enhancement and dissemination. This paper shows the benefit of using the aforementioned tools to study the peculiar clay mask No. 11114-E, discovered in 1973 in the Greek necropolis of Lipára, inside tomb No. 1558. The specimen, now exhibited in the Classical Section of the Aeolian Museum, is considered unique both in the Aeolian Islands and in the ancient Greek world, as it is the only one merging two half faces attributable to different characters. This feature, unknown at the time of discovery, has been highlighted in 2018, thanks to a restoration intervention by which a hard concretion layer covering a large portion of the mask surface was removed, bringing to light a smiling young half-face next to an old one with Silenic features. In 2019, the mask was surveyed in situ through a portable and performing laser-scanner arm (the QuantumTM FaroArm by FARO) to produce a high-resolution 3D model useful to enhance the reading of the two halves (not evident enough, due to its state of preservation). The data processing was performed using the Geomagic Wrap software, able to align and merge multiple scans into a single model and to export results in multiple formats, easily shareable and viewable in free software or via the web. Finally, thanks to this method, the successful generation of a digital replica was performed; the resulting replica is useful for dissemination and as a support for the hypothetical reconstruction of the two prototypes taken as models by the craftsman who created the mask.Highlights:<ul><li>A 'mobile laboratory’ consisting of portable equipment has been set up to perform 3D metric surveys on a selection of artefacts preserved at the Museum of Lipari.</li><li>By means of an ultra-precision laser-scanner arm, a 3D survey on a miniaturistic double-faced mask, belonging to the classical theatrical terracotta, has been performed.</li><li>A geometrically accurate and realistic 3D final model has been created. This helped the study and reconstruction of the two characters composing the mask.</li></ul>

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

A theatrical double-faced mask preserved at the Museum of Lipari (Messina): study and 3D reconstruction through portable equipment

Giuffrida

Nardo

Adinolfi

et al. 2021

Virtual archaeol. rev.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Thus, the digitisation of movable heritage is a very actual and relevant topic that in recent years has been attentively investigated by the researchers involved in the fieldwork of cultural heritage 3D metric documentation, as evidenced by several experiences aimed at acquiring and model movable heritage assets (Giuffrida et al, 2019;Patrucco, Chiabrando, Dondi, & Malagodi, 2018) using strategies and techniques offered by the recent technological developments in the field of geomatics.…”

Section: Introductionmentioning

confidence: 99%

“…In the last few years, the use of an image-based methodology has allowed reaching remarkable results during different research experiences (Adami et al, 2015;Giuffrida et al, 2019;Guidi, Malik, Frischer, Barandoni, & Paolucci, 2018). However, many issues connected to a massive digitisation process should be considered, in particular regarding time consumption implied in the operations connected to the processing of the images.…”

Section: Introductionmentioning

confidence: 99%

Multiclass semantic segmentation for digitisation of movable heritage using deep learning techniques

Patrucco

Setragno²

2021

Virtual archaeol. rev.

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Digitisation processes of movable heritage are becoming increasingly popular to document the artworks stored in our museums. A growing number of strategies for the three-dimensional (3D) acquisition and modelling of these invaluable assets have been developed in the last few years. Their objective is to efficiently respond to this documentation need and contribute to deepening the knowledge of the masterpieces investigated constantly by researchers operating in many fieldworks. Nowadays, one of the most effective solutions is represented by the development of image-based techniques, usually connected to a Structure-from-Motion (SfM) photogrammetric approach. However, while images acquisition is relatively rapid, the processes connected to data processing are very time-consuming and require the operator’s substantial manual involvement. Developing deep learning-based strategies can be an effective solution to enhance the automatism level. In this research, which has been carried out in the framework of the digitisation of a wooden maquettes collection stored in the ‘Museo Egizio di Torino’, using a photogrammetric approach, an automatic masking strategy using deep learning techniques is proposed, to increase the level of automatism and therefore, optimise the photogrammetric pipeline. Starting from a manually annotated dataset, a neural network was trained to automatically perform a semantic classification to isolate the maquettes from the background. The proposed methodology allowed the researchers to obtain automatically segmented masks with a high degree of accuracy. The workflow is described (as regards acquisition strategies, dataset processing, and neural network training). In addition, the accuracy of the results is evaluated and discussed. Finally, the researchers proposed the possibility of performing a multiclass segmentation on the digital images to recognise different object categories in the images, as well as to define a semantic hierarchy to perform automatic classification of different elements in the acquired images.Highlights:<ul><li>In the framework of movable heritage digitisation processes, many procedures are very time-consuming, and they still require the operator’s substantial manual involvement.</li><li>This research proposes using deep learning techniques to enhance the automatism level in the generation of exclusion masks, improving the optimisation of the photogrammetric procedures.</li><li>Following this strategy, the possibility of performing a multiclass semantic segmentation (on the 2D images and, consequently, on the 3D point cloud) is also discussed, considering the accuracy of the obtainable results.</li></ul>

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Combined negative dielectrophoresis with a flexible SERS platform as a novel strategy for rapid detection and identification of bacteria

et al. 2021

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Combined 3D Surveying and Raman Spectroscopy Techniques on Artifacts Preserved at Archaeological Museum of Lipari

Cited by 5 publications

References 9 publications

A theatrical double-faced mask preserved at the Museum of Lipari (Messina): study and 3D reconstruction through portable equipment

A theatrical double-faced mask preserved at the Museum of Lipari (Messina): study and 3D reconstruction through portable equipment

Multiclass semantic segmentation for digitisation of movable heritage using deep learning techniques

Combined negative dielectrophoresis with a flexible SERS platform as a novel strategy for rapid detection and identification of bacteria

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