A lightness recovery algorithm for the multispectral acquisition of frescoed environments

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

Abstract

The multispectral acquisition of frescoes poses unsolved challenges, the main difficulty being that it is often impossible to measure the reference white signal. We introduce a new formulation of the lightness problem for images of pictorial artworks. 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 paintings that compare very well with the known ground truth, outperforming other state-ofthe art lightness recovery algorithms. We then apply our method to a fresco for which the reference white signal had not been acquired. We propose a definition of consistency for lightness recovery algorithms, and show our method satisfies it fairly well.

Original languageEnglish (US)
Title of host publication2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009
Pages970-977
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). A lightness recovery algorithm for the multispectral acquisition of frescoed environments. In 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009 (pp. 970-977). [5457599] (2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009). https://doi.org/10.1109/ICCVW.2009.5457599

A lightness recovery algorithm for the multispectral acquisition of frescoed environments. / Paviotti, Anna; Forsyth, David Alexander.

2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009. 2009. p. 970-977 5457599 (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, A lightness recovery algorithm for the multispectral acquisition of frescoed environments. in 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009., 5457599, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009, pp. 970-977, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009, Kyoto, Japan, 9/27/09. https://doi.org/10.1109/ICCVW.2009.5457599
Paviotti A, Forsyth DA. A lightness recovery algorithm for the multispectral acquisition of frescoed environments. In 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009. 2009. p. 970-977. 5457599. (2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009). https://doi.org/10.1109/ICCVW.2009.5457599
Paviotti, Anna ; Forsyth, David Alexander. / A lightness recovery algorithm for the multispectral acquisition of frescoed environments. 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009. 2009. pp. 970-977 (2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009).
@inproceedings{27d0e6b372bc443695a1871fd0b7508a,
title = "A lightness recovery algorithm for the multispectral acquisition of frescoed environments",
abstract = "The multispectral acquisition of frescoes poses unsolved challenges, the main difficulty being that it is often impossible to measure the reference white signal. We introduce a new formulation of the lightness problem for images of pictorial artworks. 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 paintings that compare very well with the known ground truth, outperforming other state-ofthe art lightness recovery algorithms. We then apply our method to a fresco for which the reference white signal had not been acquired. We propose a definition of consistency for lightness recovery algorithms, and show our method satisfies it fairly well.",
author = "Anna Paviotti and Forsyth, {David Alexander}",
year = "2009",
month = "12",
day = "1",
doi = "10.1109/ICCVW.2009.5457599",
language = "English (US)",
isbn = "9781424444427",
series = "2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009",
pages = "970--977",
booktitle = "2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009",

}

TY - GEN

T1 - A lightness recovery algorithm for the multispectral acquisition of frescoed environments

AU - Paviotti, Anna

AU - Forsyth, David Alexander

PY - 2009/12/1

Y1 - 2009/12/1

N2 - The multispectral acquisition of frescoes poses unsolved challenges, the main difficulty being that it is often impossible to measure the reference white signal. We introduce a new formulation of the lightness problem for images of pictorial artworks. 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 paintings that compare very well with the known ground truth, outperforming other state-ofthe art lightness recovery algorithms. We then apply our method to a fresco for which the reference white signal had not been acquired. We propose a definition of consistency for lightness recovery algorithms, and show our method satisfies it fairly well.

AB - The multispectral acquisition of frescoes poses unsolved challenges, the main difficulty being that it is often impossible to measure the reference white signal. We introduce a new formulation of the lightness problem for images of pictorial artworks. 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 paintings that compare very well with the known ground truth, outperforming other state-ofthe art lightness recovery algorithms. We then apply our method to a fresco for which the reference white signal had not been acquired. We propose a definition of consistency for lightness recovery algorithms, and show our method satisfies it fairly well.

UR - http://www.scopus.com/inward/record.url?scp=77953176339&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77953176339&partnerID=8YFLogxK

U2 - 10.1109/ICCVW.2009.5457599

DO - 10.1109/ICCVW.2009.5457599

M3 - Conference contribution

AN - SCOPUS:77953176339

SN - 9781424444427

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

SP - 970

EP - 977

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

ER -