Digital reconstruction is nowadays a widespread practise and, at the same time, a useful tool in CH field, starting from the study of works of art up to the delineation of conservation actions. The present work describes the use of the ENEA 3D laser scanner prototype, called RGB-ITR, for a deepen investigation of 19th century charcoal inscriptions on wall drawings, placed in the Saint Sebastian Door of the monumental Aurelian Walls (Rome), with the aim of understanding the historical value. The results of post-processing analysis of the high detailed 3D models with properly-developed algorithms allowed the preliminary reconstruction of the contents, demonstrating the value of the adopted technique for 3D digitalization of the room thanks to its features, such as independence from variable lighting conditions, acquisitions at great distances and no need of area interdiction or scaffolds.

Multi-wavelengths 3D laser scanner for investigation and reconstruction of 19th century charcoal inscriptions

Guarneri, M.;Ciaffi, M.
2019

Abstract

Digital reconstruction is nowadays a widespread practise and, at the same time, a useful tool in CH field, starting from the study of works of art up to the delineation of conservation actions. The present work describes the use of the ENEA 3D laser scanner prototype, called RGB-ITR, for a deepen investigation of 19th century charcoal inscriptions on wall drawings, placed in the Saint Sebastian Door of the monumental Aurelian Walls (Rome), with the aim of understanding the historical value. The results of post-processing analysis of the high detailed 3D models with properly-developed algorithms allowed the preliminary reconstruction of the contents, demonstrating the value of the adopted technique for 3D digitalization of the room thanks to its features, such as independence from variable lighting conditions, acquisitions at great distances and no need of area interdiction or scaffolds.
978-151085818-3
3D colour models, Charcoal inscription, Image enhancement, Morphological operators, Multi-wavelengths laser scanner, Text recognition
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.12079/54521
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