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An experimental study on content-based face annotation of photos

  • Mei Chen Yeh*
  • , Sheng Zhang
  • , Kwang Ting Cheng
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Face annotation of photos, a key enabling technology for many exciting new applications, has been gaining broad interest. The task is different from the general face recognition problem because the dataset is not constrained - an unlabelled face may not have any corresponding match in the training set. Moreover, faces in real-life photos have a significantly wider variation range than those in the conventional face datasets. We designed and conducted a thorough experimental study to understand the efficacy of face recognition methods for annotating faces in real-world scenarios. The findings of this study should provide information for various design choices for a practical and high-accuracy face annotation system.

Original languageEnglish
Title of host publicationIEEE 3rd International Conference on Biometrics
Subtitle of host publicationTheory, Applications and Systems, BTAS 2009
PublisherIEEE Computer Society
ISBN (Print)9781424450206
DOIs
Publication statusPublished - 2009
Event3rd IEEE International Conference on Biometrics: Theory, Applications and Systems, BTAS 2009 - Washington, DC, United States
Duration: 2009 Sept 282009 Sept 30

Publication series

NameIEEE 3rd International Conference on Biometrics: Theory, Applications and Systems, BTAS 2009

Conference

Conference3rd IEEE International Conference on Biometrics: Theory, Applications and Systems, BTAS 2009
Country/TerritoryUnited States
CityWashington, DC
Period2009/09/282009/09/30

ASJC Scopus subject areas

  • Biotechnology
  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition

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