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Reconstruction of occluded facial images using asymmetrical principal component analysis
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics. (Digital Media Lab)
2011 (English)In: 2011 18th International Conference on Systems, Signals and Image Processing (IWSSIP), IEEE , 2011, 276-279 p.Conference paper, Published paper (Refereed)
Abstract [en]

When face images are occluded it becomes difficult or impossible to make a correct recognition based on only the non-occluded parts. With asymmetrical Principal Component Analysis (aPCA) it is possible to estimate occluded regions based on the content of the non-occluded pixels. Entire faces can be reconstructed from images where some parts are occluded with the occluded region being estimated based on the relation to the non-occluded region. We show the result with 3 different occlusion cases and compare two reconstruction methods. The results are measured both objectively and subjectively and it is shown that a clear and sharp image part should be used even if the resulting image have edges in it.

Place, publisher, year, edition, pages
IEEE , 2011. 276-279 p.
National Category
Media Engineering
Identifiers
URN: urn:nbn:se:umu:diva-46986ISBN: 978-9958-9966-1-0 (print)OAI: oai:DiVA.org:umu-46986DiVA: diva2:441740
Conference
18th International Conference on Systems, Signals and Image Processing (IWSSIP), 16-18 June 2011
Available from: 2011-09-19 Created: 2011-09-19 Last updated: 2011-10-20Bibliographically approved

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http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5977343

Authority records BETA

Söderström, Ulrik

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Al-Naser, MohammadSöderström, Ulrik
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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
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