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dc.contributor.authorHengstum, Mathijs J. W. vanen_US
dc.contributor.authorEssers, Tessa T. W.en_US
dc.contributor.authorElkhuizen, Willemijn S.en_US
dc.contributor.authorDodou, Dimitraen_US
dc.contributor.authorSong, Yuen_US
dc.contributor.authorGeraedts, Jo M. P.en_US
dc.contributor.authorDik, Jorisen_US
dc.contributor.editorSablatnig, Robert and Wimmer, Michaelen_US
dc.date.accessioned2018-11-11T10:57:17Z
dc.date.available2018-11-11T10:57:17Z
dc.date.issued2018
dc.identifier.isbn978-3-03868-057-4
dc.identifier.issn2312-6124
dc.identifier.urihttps://doi.org/10.2312/gch.20181336
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/gch20181336
dc.description.abstractThe 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.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectPoint
dc.subjectbased models
dc.subjectApplied computing
dc.subjectFine arts
dc.titleDevelopment of a High Resolution Topography and Color Scanner to Capture Crack Patterns of Paintingsen_US
dc.description.seriesinformationEurographics Workshop on Graphics and Cultural Heritage
dc.description.sectionheadersScanning for Cultural Heritage
dc.identifier.doi10.2312/gch.20181336
dc.identifier.pages11-20


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