hh.sePublikasjoner
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Illuminance Flow Estimation by Regression
Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).
Pi-Lab., Industrial Design Engineering, Delft University of Technology, Landbergstraat 15, Delft 2628 CE, Netherlands.
Pi-Lab., Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Mekelweg 4, Delft 2028 CD, Netherlands.
Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, United Kingdom.
2010 (engelsk)Inngår i: International Journal of Computer Vision, ISSN 0920-5691, E-ISSN 1573-1405, Vol. 90, nr 3, s. 304-312Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

We investigate the estimation of illuminance flow using Histograms of Oriented Gradient features (HOGs). In a regression setting, we found for both ridge regression and support vector machines, that the optimal solution shows close resemblance to the gradient based structure tensor (also known as the second moment matrix). Theoretical results are presented showing in detail how the structure tensor and the HOGs are connected. This relation will benefit computer vision tasks such as affine invariant texture/object matching using HOGs. Several properties of HOGs are presented, among others, how many bins are required for a directionality measure, and how to estimate HOGs through spatial averaging that requires no binning.

sted, utgiver, år, opplag, sider
Amsterdam: Elsevier, 2010. Vol. 90, nr 3, s. 304-312
Emneord [en]
Illuminance flow, Surface 3D texture, Histogram of oriented gradients, Illuminant estimation
HSV kategori
Identifikatorer
URN: urn:nbn:se:hh:diva-18894DOI: 10.1007/s11263-010-0353-7ISI: 000282782700003Scopus ID: 2-s2.0-78149283686OAI: oai:DiVA.org:hh-18894DiVA, id: diva2:537591
Tilgjengelig fra: 2012-06-27 Laget: 2012-06-25 Sist oppdatert: 2018-03-22bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekstScopus

Personposter BETA

Karlsson, Stefan M.

Søk i DiVA

Av forfatter/redaktør
Karlsson, Stefan M.
Av organisasjonen
I samme tidsskrift
International Journal of Computer Vision

Søk utenfor DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 209 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf