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Application of multi-modal 2D and 3D imaging and analytical techniques to document and examine coins on the example of two Roman silver denarii
Hess, Mona; MacDonald, Lindsay; Valach, Jaroslav (2018): Application of multi-modal 2D and 3D imaging and analytical techniques to document and examine coins on the example of two Roman silver denarii, in: Heritage Science, Bamberg: Otto-Friedrich-Universität.
Faculty/Chair:
Author:
Title of the Journal:
Heritage Science
ISSN:
2050-7445
Publisher Information:
Year of publication:
2018
Pages:
Source/Other editions:
Heritage Science, 6 (2018), 5, 22 S. - ISSN: 2050-7445
Year of first publication:
2018
Language:
English
Abstract:
This case study is applying imaging and analytical techniques from multiple scientific disciplines to digitise coins and evaluate 3D multi-modal visualisation. Two ancient Roman silver denarii were selected as test objects to establish whether the proposed digital recording methods can support professional numismatic comparison of features and properties. The coins raise questions concerning their provenance, authenticity, design, purpose of issue and historic usage, but they also pose considerable recording challenges due to their material and surface properties, which are the main focus in this paper. The coins have been examined by the following techniques: dome photography for image sets for PTM/RTI visualisation and photometric stereo; X-ray microtomography for detection of cracks or impurities; Scanning Electron Microscopy for detailed surface investigation; Energy-Dispersive X-ray Spectroscopy for elemental analysis; micro X-ray fluorescence spectrometry mapping; 3D laser and structured light scanning for 3D spatial capture; photogrammetry/structure from motion, focus-stacking. The results indicate the feasibility of such techniques for museum documentation and as contribution to scientific examination of coins in general.
GND Keywords: ; ;
Denar
3D-Scanner
Analyse
Keywords: ; ; ; ; ; ; ; ; ;
3D scanning
focus-stacking
microCT
numismatic
photogrammetry
photometric stereo
PTM/RTI
SEM/EDX
SfM
XRF
DDC Classification:
RVK Classification:
Type:
Article
Activation date:
July 11, 2018
Project(s):
Permalink
https://fis.uni-bamberg.de/handle/uniba/44096