Title :
Estimating the location of illuminants in realist master paintings Computer image analysis addresses a debate in art history of the Baroque
Author :
Stork, David G. ; Johnson, M. Kimo
Author_Institution :
Ricoh Innovations, Menlo Park, CA
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, 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
Keywords :
art; computer vision; feature extraction; maximum likelihood estimation; 2D model-free occluding contour algorithm; Baroque; art history; composite detection; computer image analysis; computer vision; digital photographs; forgery detection; illuminant location estimation; key painting; maximum-likelihood criterion; painting praxis; realist master paintings; Application software; Art; Computer vision; Forgery; History; Image analysis; Lighting; Maximum likelihood detection; Maximum likelihood estimation; Painting;
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2521-0
DOI :
10.1109/ICPR.2006.501