• DocumentCode
    2263683
  • Title

    Lightness recovery for pictorial surfaces

  • Author

    Paviotti, Anna ; Forsyth, David A.

  • Author_Institution
    Comput. Sci. Dept., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
  • fYear
    2009
  • fDate
    Sept. 27 2009-Oct. 4 2009
  • Firstpage
    1931
  • Lastpage
    1938
  • Abstract
    We introduce a new formulation of the lightness problem for images of artworks, such as paintings or frescoes. As artists often paint the effects of light, the albedo field can contain a component that mimics an illumination field. Therefore, new insights are needed to distinguish the effects of physical illumination and painted shading. Because paint has a small dynamic range compared to light, these two signals can be distinguished using dynamic range. We describe a variational method to estimate the physical illumination component. We show our method produces estimates of the illumination intensity field for multispectral images of works of art that compare very well with ground truth, which is known. Our method outperforms other state-of-the art lightness recovery algorithms. For (R,G,B) images of frescoes found on the web, where ground truth is not known, our method produces results that appear to be very good, too.
  • Keywords
    image colour analysis; lighting; illumination field; lightness recovery; physical illumination component; pictorial surfaces; Art; Computer science; Conferences; Dynamic range; Layout; Lighting; Multispectral imaging; Painting; Paints; Reflectivity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision Workshops (ICCV Workshops), 2009 IEEE 12th International Conference on
  • Conference_Location
    Kyoto
  • Print_ISBN
    978-1-4244-4442-7
  • Electronic_ISBN
    978-1-4244-4441-0
  • Type

    conf

  • DOI
    10.1109/ICCVW.2009.5457518
  • Filename
    5457518