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Eye pupil localization with an ensemble of randomized trees
University of Zagreb, Croatia .
University of Zagreb, Croatia .
University of Zagreb, Croatia .
Linköping University, Department of Electrical Engineering, Information Coding. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-6763-5487
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2014 (English)In: Pattern Recognition, ISSN 0031-3203, E-ISSN 1873-5142, Vol. 47, no 2, 578-587 p.Article in journal (Refereed) Published
Abstract [en]

We describe a method for eye pupil localization based on an ensemble of randomized regression trees and use several publicly available datasets for its quantitative and qualitative evaluation. The method compares well with reported state-of-the-art and runs in real-time on hardware with limited processing power, such as mobile devices.

Place, publisher, year, edition, pages
Elsevier , 2014. Vol. 47, no 2, 578-587 p.
Keyword [en]
Eye pupil localization; Boosting; Randomized trees
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-103864DOI: 10.1016/j.patcog.2013.08.008ISI: 000329413000008OAI: oai:DiVA.org:liu-103864DiVA: diva2:692549
Available from: 2014-01-31 Created: 2014-01-30 Last updated: 2017-12-06

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Ahlberg, JörgenForchheimer, Robert

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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