Visualization and Extraction of Carvings for Heritage Conservation

Journal Article (2017)
Authors

Kai Lawonn (University of Koblenz)

Erik Trostmann (Fraunhofer Institute for Factory Operation and Automation)

Bernhard Preim (Otto von Guericke University Magdeburg)

K. Hildebrandt (TU Delft - Computer Graphics and Visualisation)

Research Group
Computer Graphics and Visualisation
Copyright
© 2017 K.R.H. Lawonn, Erik Trostmann, Bernhard Preim, K.A. Hildebrandt
To reference this document use:
https://doi.org/10.1109/tvcg.2016.2598603
More Info
expand_more
Publication Year
2017
Language
English
Copyright
© 2017 K.R.H. Lawonn, Erik Trostmann, Bernhard Preim, K.A. Hildebrandt
Research Group
Computer Graphics and Visualisation
Issue number
1
Volume number
23
Pages (from-to)
801-810
DOI:
https://doi.org/10.1109/tvcg.2016.2598603
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

We present novel techniques for visualizing, illustrating, analyzing, and generating carvings in surfaces. In particular, we consider the carvings in the plaster of the cloister of the Magdeburg cathedral, which dates to the 13th century. Due to aging and weathering, the carvings have flattened. Historians and restorers are highly interested in using digitalization techniques to analyze carvings in historic artifacts and monuments and to get impressions and illustrations of their original shape and appearance. Moreover, museums and churches are interested in such illustrations for presenting them to visitors. The techniques that we propose allow for detecting, selecting, and visualizing carving structures. In addition, we introduce an example-based method for generating carvings. The resulting tool, which integrates all techniques, was evaluated by three experienced restorers to assess the usefulness and applicability. Furthermore, we compared our approach with exaggerated shading and other state-of-the-art methods.

Files

Lawonn_2016_scivis.pdf
(pdf | 25.9 Mb)
License info not available