Estimating the location of illuminants in realist master paintings Computer image analysis addresses a debate in art history of the Baroque

We address the problem of estimating the position illuminants in realist master paintings. To this end, we apply an algorithm from computer vision that has been used to detect forgeries and composites in digital photographs. Our contributions are three-fold: 1) we introduce the application of a two-...

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Bibliographic Details
Published in18th International Conference on Pattern Recognition (ICPR'06) Vol. 1; pp. 255 - 258
Main Authors Stork, D.G., Johnson, M.K.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2006
Subjects
Application software
Computer vision
Forgery
History
Image analysis
Lighting
Maximum likelihood detection
Maximum likelihood estimation
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Summary:We address the problem of estimating the position illuminants in realist master paintings. To this end, we apply an algorithm from computer vision that has been used to detect forgeries and composites in digital photographs. Our contributions are three-fold: 1) we introduce the application of a two-dimensional, model-free occluding contour algorithm to the problem of locating the source of illumination in realist master paintings, 2) we introduce a maximum-likelihood criterion and computational method for integrating estimates from multiple occluding contours, and 3) we apply our methods to a key painting adduced as evidence in a recent controversial theory about painting praxis in the Renaissance and Baroque
ISBN:0769525210
9780769525211
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.2006.501