umu.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
Recognizing frontal face images using hidden Markov models with one training image per person
2004 (English)In: Proceedings of the 17th international conference on pattern recognition, vol 1 / [ed] Kittler, J; Petrou, M; Nixon, M, Los Alamitos: IEEE Computer Society, 2004, 318-321 p.Conference paper, Published paper (Refereed)
Resource type
Text
Abstract [en]

Recently, many important face recognition systems could deal well with frontal view face images. However few of them work well when there is only one training image per person. In this paper we propose an approach to cope with the problem by using ID Discrete Hidden Markov Model (ID-DHMM). The model training and recognition part were carried out on both vertical and horizontal directions. New way of extracting observations and using observation sequences in recognition is introduced. The Haar wavelet transform was applied to the image to lessen the dimension of the observation vectors. Our experiment results tested on the frontal view AR Face Database show that the proposed method outperforms the PCA, LDA, LFA approaches tested on the same database.

Place, publisher, year, edition, pages
Los Alamitos: IEEE Computer Society, 2004. 318-321 p.
Series
International conference on pattern recognition, ISSN 1051-4651
National Category
Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-122194DOI: 10.1109/ICPR.2004.1334116ISI: 000223874500078ISBN: 0-7695-2128-2 (print)OAI: oai:DiVA.org:umu-122194DiVA: diva2:938079
Conference
17th International Conference on Pattern Recognition (ICPR), AUG 23-26, 2004, British Machine Vis Assoc, Cambridge, ENGLAND
Available from: 2016-06-16 Created: 2016-06-15 Last updated: 2016-06-16Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text
Computer Science

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 4 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