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
DOIs
Publication statusPublished - 2009
EventIEEE 3rd 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

Other

OtherIEEE 3rd 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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