Development of a High Resolution Topography and Color Scanner to Capture Crack Patterns of Paintings
dc.contributor.author | Hengstum, Mathijs J. W. van | en_US |
dc.contributor.author | Essers, Tessa T. W. | en_US |
dc.contributor.author | Elkhuizen, Willemijn S. | en_US |
dc.contributor.author | Dodou, Dimitra | en_US |
dc.contributor.author | Song, Yu | en_US |
dc.contributor.author | Geraedts, Jo M. P. | en_US |
dc.contributor.author | Dik, Joris | en_US |
dc.contributor.editor | Sablatnig, Robert and Wimmer, Michael | en_US |
dc.date.accessioned | 2018-11-11T10:57:17Z | |
dc.date.available | 2018-11-11T10:57:17Z | |
dc.date.issued | 2018 | |
dc.description.abstract | The aging of paintings is inevitable and over the years degradation occurs due to exposure to a variety of environmental influences. One of these degradations is craquelure, fracture patterns in the paint. 3D imaging techniques offer opportunities to capture the surface of a painting and these patterns at high resolution. In this paper we present a 3D scanner that is able to capture surface topography and color of oil paintings at high resolution utilizing fringe-encoded stereo imaging scanning system. The scanner is capable of automated capture of an area of 1x1m2, capturing a painting at a spatial resolution of 7 micron and a depth accuracy of 34 microns. Scanning at this resolution creates potential research opportunities for documentation and monitoring oil paintings under its environmental influences. A scan was made of 'Girl with a Pearl Earring' (c.1665), painted by Johannes Vermeer, which exhibits fine craquelure patterns. The scanner is able to capture the painting of 39x44.5 cm within 2 hours with a tile overlap of 25%. The results showed that the craquelure has more often a ridge-shaped profile instead of the expected inward valleys. The documentation of these variations in crack profiles create interesting paths for future research. | en_US |
dc.description.sectionheaders | Scanning for Cultural Heritage | |
dc.description.seriesinformation | Eurographics Workshop on Graphics and Cultural Heritage | |
dc.identifier.doi | 10.2312/gch.20181336 | |
dc.identifier.isbn | 978-3-03868-057-4 | |
dc.identifier.issn | 2312-6124 | |
dc.identifier.pages | 11-20 | |
dc.identifier.uri | https://doi.org/10.2312/gch.20181336 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/gch20181336 | |
dc.publisher | The Eurographics Association | en_US |
dc.subject | Computing methodologies | |
dc.subject | Point | |
dc.subject | based models | |
dc.subject | Applied computing | |
dc.subject | Fine arts | |
dc.title | Development of a High Resolution Topography and Color Scanner to Capture Crack Patterns of Paintings | en_US |
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