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Ranklets: orientation selective non-parametric features applied to face detection
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
2002 (English)In: 16th International Conference on Pattern Recognition, 2002. Proceedings, Piscataway, NJ: IEEE , 2002, Vol. 16, no 3, 379-382 p.Conference paper, Published paper (Refereed)
Abstract [en]

We introduce a family of multiscale, orientationselective, non-parametric features ("ranklets") modelled on Haar wavelets. We clarify their relation to the Wilcoxon rank-sum test and the rank transform and provide an efficient scheme for computation based on the Mann-Whitney statistics. Finally, we show that ranklets outperform other rank features, Haar wavelets, SNoW and linear SVMs (based on independently published results) in face detection experiments over the 24'045 test images in the MIT-CBCL database.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE , 2002. Vol. 16, no 3, 379-382 p.
Series
International Conference on Pattern Recognition, ISSN 1051-4651 ; 2002
Keyword [en]
Feature extraction, Computational complexity, Computational methods, Face recognition, Matrix algebra, Wavelet transforms
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:hh:diva-3494DOI: 10.1109/ICPR.2002.1047924ISI: 000177887100092Scopus ID: 2-s2.0-23944500968ISBN: 10514651 OAI: oai:DiVA.org:hh-3494DiVA: diva2:290965
Note
©2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.Available from: 2010-01-29 Created: 2009-12-01 Last updated: 2018-01-12Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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