hh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
Illuminance Flow Estimation by Regression
Halmstad University, School of Information Science, Computer and Electrical Engineering (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 (English)In: International Journal of Computer Vision, ISSN 0920-5691, E-ISSN 1573-1405, Vol. 90, no 3, 304-312 p.Article in journal (Refereed) 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.

Place, publisher, year, edition, pages
Amsterdam: Elsevier, 2010. Vol. 90, no 3, 304-312 p.
Keyword [en]
Illuminance flow, Surface 3D texture, Histogram of oriented gradients, Illuminant estimation
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-18894DOI: 10.1007/s11263-010-0353-7ISI: 000282782700003Scopus ID: 2-s2.0-78149283686OAI: oai:DiVA.org:hh-18894DiVA: diva2:537591
Available from: 2012-06-27 Created: 2012-06-25 Last updated: 2012-09-26Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Karlsson, Stefan M.
By organisation
Halmstad Embedded and Intelligent Systems Research (EIS)
In the same journal
International Journal of Computer Vision
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 140 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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