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Proceedings Paper

Integration of high-resolution spatial and spectral data acquisition systems to provide complementary datasets for cultural heritage applications
Author(s): Camille Simon; Uwe Huxhagen; Alamin Mansouri; Adrian Heritage; Frank Boochs; Franck S. Marzani
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Paper Abstract

Modern optical measuring systems are able to record objects with high spatial and spectral precision. The acquisition of spatial data is possible with resolutions of a few hundredths of a millimeter using active projection-based camera systems, while spectral data can be obtained using filter-based multispectral camera systems that can capture surface spectral reflectance with high spatial resolution. We present a methodology for combining data from these two discrete optical measuring systems by registering their individual measurements into a common geometrical frame. Furthermore, the potential for its application as a tool for the non-invasive monitoring of paintings and polychromy is evaluated. The integration of time-referenced spatial and spectral datasets is beneficial to record and monitor cultural heritage. This enables the type and extent of surface and colorimetric change to be precisely characterized and quantified over time. Together, these could facilitate the study of deterioration mechanisms or the efficacy of conservation treatments by measuring the rate, type, and amount of change over time. An interdisciplinary team of imaging scientists and art scholars was assembled to undertake a trial program of repeated data acquisitions of several valuable historic surfaces of cultural heritage objects. The preliminary results are presented and discussed.

Paper Details

Date Published: 16 February 2010
PDF: 9 pages
Proc. SPIE 7531, Computer Vision and Image Analysis of Art, 75310L (16 February 2010); doi: 10.1117/12.838891
Show Author Affiliations
Camille Simon, Univ. de Bourgogne (France)
Mainz Univ. of Applied Sciences (Germany)
Uwe Huxhagen, Mainz Univ. of Applied Sciences (Germany)
Alamin Mansouri, Univ. de Bourgogne (France)
Adrian Heritage, Cologne Univ. of Applied Sciences (Germany)
Frank Boochs, Mainz Univ. of Applied Sciences (Germany)
Franck S. Marzani, Univ. de Bourgogne (France)

Published in SPIE Proceedings Vol. 7531:
Computer Vision and Image Analysis of Art
David G. Stork; Jim Coddington; Anna Bentkowska-Kafel, Editor(s)

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