Development of a high resolution topography and color scanner to capture crack patterns of paintings

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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.
Original languageEnglish
Title of host publicationGCH 2018 - Eurographics Workshop on Graphics and Cultural Heritage
EditorsRobert Sablatnig, Michael Wimmer
PublisherThe Eurographics Association
Pages11-20
Number of pages10
ISBN (Print)978-3-03868-057-4
DOIs
Publication statusPublished - 2018
EventThe 16th EUROGRAPHICS Workshop on Graphics and Cultural Heritage (EG GCH) - Vienna, Austria
Duration: 12 Nov 201815 Nov 2018
Conference number: 16th

Publication series

NameGCH 2018 - Eurographics Workshop on Graphics and Cultural Heritage

Workshop

WorkshopThe 16th EUROGRAPHICS Workshop on Graphics and Cultural Heritage (EG GCH)
CountryAustria
CityVienna
Period12/11/1815/11/18

Keywords

  • Computing methodologies
  • Point-based models
  • Applied computing
  • Fine arts

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    van Hengstum, M. J. W., Essers, T. T. W., Elkhuizen, W. S., Dodou, D., Song, Y., Geraedts, J. M. P., & Dik, J. (2018). Development of a high resolution topography and color scanner to capture crack patterns of paintings. In R. Sablatnig, & M. Wimmer (Eds.), GCH 2018 - Eurographics Workshop on Graphics and Cultural Heritage (pp. 11-20). (GCH 2018 - Eurographics Workshop on Graphics and Cultural Heritage). The Eurographics Association. https://doi.org/10.2312/gch.20181336