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

Authors:
David G. Stork;M. Kimo Johnson
Affiliations:
Ricoh Innovations, Menlo Park, CA;Dartmouth College Hanover, NH
Venue:
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Year:
2006

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Abstract

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, modelfree 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.