THE 3D RECONSTRUCTION OF THE SANSEVERO CHAPEL ANATOMICAL MACHINES: A GEOMATICS CHALLENGE

This work presents the results of a geomatic survey conducted on the Anatomical Machines within the Sansevero Chapel in Naples, Italy. These anatomical artifacts have the unique characteristics of being upright standing skeletons with nearly intact circulatory systems. Previous research revealed tha...

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Veröffentlicht in:International archives of the photogrammetry, remote sensing and spatial information sciences. remote sensing and spatial information sciences., 2024-02, Vol.XLVIII-2/W4-2024, p.173-179
Hauptverfasser: Del Pizzo, S., Di Ciaccio, F., Gaglione, S., Galassi, F. M., Papa, V., Varotto, E., Troisi, S.
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Sprache:eng
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Zusammenfassung:This work presents the results of a geomatic survey conducted on the Anatomical Machines within the Sansevero Chapel in Naples, Italy. These anatomical artifacts have the unique characteristics of being upright standing skeletons with nearly intact circulatory systems. Previous research revealed that the intricate vascular systems, once believed to be natural, are instead elaborate reconstructions made using materials such as beeswax and dyes.In response to the lack of metric data of these models, a series of geomatic surveys has been conducted to create the Machines’ 3D models. This study discusses the theoretical and practical challenges associated with surveying these complex and fragile artifacts, emphasising the need for accurate extraction techniques to overcome the limitations imposed by the wooden cases in which they are encased. Two distinct approaches were used: a photogrammetric reconstruction and a laser scanning survey to overcome some logistical difficulties encountered. Despite the challenges, the 3D models' analysis gave satisfactory results.This work addresses the palaeopathological and anatomical questions related to the Anatomical Machines by leveraging non-invasive geomatic methodologies, shedding light on the complexities of surveying historically significant artifacts and aiming at further establishing a valuable foundation for improving these modelling techniques.
ISSN:2194-9034
1682-1750
2194-9034
DOI:10.5194/isprs-archives-XLVIII-2-W4-2024-173-2024