Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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
Classifying materials from their reflectance properties
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.ORCID iD: 0000-0002-7725-0548
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.
2004 (English)In: COMPUTER VISION: ECCV 2004, PT 4, BERLIN: SPRINGER , 2004, Vol. 2034, 366-376 p.Conference paper, Published paper (Refereed)
Abstract [en]

We explore the possibility of recognizing the surface material from a single image with unknown illumination, given the shape of the surface. Model-based PCA is used to create a low-dimensional basis to represent the images. Variations in the illumination create manifolds in the space spanned by this basis. These manifolds are learnt using captured illumination maps and the CUReT database. Classification of the material is done by finding the manifold closest to the point representing the image of the material. Testing on synthetic data shows that the problem is hard. The materials form groups where the materials in a group often are mis-classifed as one of the other materials in the group. With a grouping algorithm we find a grouping of the materials in the CUReT database. Tests on images of real materials in natural illumination settings show promising results.

Place, publisher, year, edition, pages
BERLIN: SPRINGER , 2004. Vol. 2034, 366-376 p.
Series
LECTURE NOTES IN COMPUTER SCIENCE, ISSN 0302-9743 ; 2034
Keyword [en]
illumination, surfaces, images
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-43994ISI: 000221523800030Scopus ID: 2-s2.0-33845564200ISBN: 3-540-21981-1 (print)OAI: oai:DiVA.org:kth-43994DiVA: diva2:449131
Conference
8th European Conference on Computer Vision. Prague, CZECH REPUBLIC. MAY 11-14, 2004
Note
QC 20111019Available from: 2011-10-19 Created: 2011-10-19 Last updated: 2011-10-19Bibliographically approved

Open Access in DiVA

No full text

Scopus

Authority records BETA

Peter, Nillius

Search in DiVA

By author/editor
Peter, NilliusEklundh, Jan Olof
By organisation
Numerical Analysis and Computer Science, NADA
Computer Science

Search outside of DiVA

GoogleGoogle Scholar

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 31 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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