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
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