• DocumentCode
    456960
  • 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
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    255
  • Lastpage
    258
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.501
  • Filename
    1698881