liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Estimation of Reflectance Spectra Using Multiple Illuminations
University of Joensuu Finland.
Linköping University, Department of Science and Technology, Digital Media. Linköping University, The Institute of Technology.ORCID iD: 0000-0001-7557-4904
University of Joensuu Finland.
University of Joensuu Finland.
Show others and affiliations
2008 (English)In: Proc. CGIV 2008, 7003 Kilworth Lane, Springfield, VA 22151 USA: Society for Imaging Science and Technology , 2008, , 272-276 p.272-276 p.Conference paper, Published paper (Refereed)
Abstract [en]

Using ordinary digital cameras as relatively cheap measurementdevices for estimating spectral color properties has becomean interesting alternative to making pointwise high precisionspectral measurements with special equipments like photospectrometers.The results obtained with these methods cannotcompete with the quality of the traditional high resolutiondevices but they are very attractive since the equipment is relativelycheap and instant measurements are obtained for millionsof measurement points.In this paper we investigate the problem of estimating reflectancespectra from measurements taken with ordinary digitalRGB cameras. We study the effects of using multiple illuminationsand treat the estimation of the reflectance spectra asa regression or a statistical inversion problem. We use both,linear- and non-linear estimation methods where we focus onusing reproducing kernels to avoid explicit formulation of nonlinearities.We also include non-linear conditions based on theproperties of the reflection spectra. Munsell Matte color andPantone are used as data sets to support the proposed methods.The experiments show that the proposed methods improve the estimationresults when compared to standard linear methods.

Place, publisher, year, edition, pages
7003 Kilworth Lane, Springfield, VA 22151 USA: Society for Imaging Science and Technology , 2008. , 272-276 p.272-276 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-42581Local ID: 66300ISBN: 978-0-89208-262-6 (print)OAI: oai:DiVA.org:liu-42581DiVA: diva2:263438
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2016-08-31

Open Access in DiVA

No full text

Authority records BETA

Lenz, Reiner

Search in DiVA

By author/editor
Lenz, Reiner
By organisation
Digital MediaThe Institute of Technology
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 209 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf