Lightness recovery for pictorial surfaces

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009
Pages1931-1938
Number of pages8
DOIs
StatePublished - Dec 1 2009
Event2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009 - Kyoto, Japan
Duration: Sep 27 2009Oct 4 2009

Publication series

Name2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009

Other

Other2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009
CountryJapan
CityKyoto
Period9/27/0910/4/09

Fingerprint

Lighting
Recovery
Paint
Painting

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Cite this

Paviotti, A., & Forsyth, D. A. (2009). Lightness recovery for pictorial surfaces. In 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009 (pp. 1931-1938). [5457518] (2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009). https://doi.org/10.1109/ICCVW.2009.5457518

Lightness recovery for pictorial surfaces. / Paviotti, Anna; Forsyth, David Alexander.

2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009. 2009. p. 1931-1938 5457518 (2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Paviotti, A & Forsyth, DA 2009, Lightness recovery for pictorial surfaces. in 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009., 5457518, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009, pp. 1931-1938, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009, Kyoto, Japan, 9/27/09. https://doi.org/10.1109/ICCVW.2009.5457518
Paviotti A, Forsyth DA. Lightness recovery for pictorial surfaces. In 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009. 2009. p. 1931-1938. 5457518. (2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009). https://doi.org/10.1109/ICCVW.2009.5457518
Paviotti, Anna ; Forsyth, David Alexander. / Lightness recovery for pictorial surfaces. 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009. 2009. pp. 1931-1938 (2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009).
@inproceedings{e0674ee81dbf4ea9ae77d97f9294a58c,
title = "Lightness recovery for pictorial surfaces",
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.",
author = "Anna Paviotti and Forsyth, {David Alexander}",
year = "2009",
month = "12",
day = "1",
doi = "10.1109/ICCVW.2009.5457518",
language = "English (US)",
isbn = "9781424444427",
series = "2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009",
pages = "1931--1938",
booktitle = "2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009",

}

TY - GEN

T1 - Lightness recovery for pictorial surfaces

AU - Paviotti, Anna

AU - Forsyth, David Alexander

PY - 2009/12/1

Y1 - 2009/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=77953208890&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77953208890&partnerID=8YFLogxK

U2 - 10.1109/ICCVW.2009.5457518

DO - 10.1109/ICCVW.2009.5457518

M3 - Conference contribution

AN - SCOPUS:77953208890

SN - 9781424444427

T3 - 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009

SP - 1931

EP - 1938

BT - 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009

ER -