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Assessment of Time Dependency in Face Recognition: An Initial Study

  • Patrick J. Flynn
  • Kevin W. Bowyer
  • P. Jonathon Phillips
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2688)

Abstract

As face recognition research matures and products are deployed, the performance of such systems is being scrutinized by many constituencies. Performance factors of strong practical interest include the elapsed time between a subject’s enrollment and subsequent acquisition of an unidentified face image, and the number of images of each subject available. In this paper, a long-term image acquisition project currently underway is described and data from the pilot study is examined. Experimental results suggest that (a) recognition performance is substantially poorer when unknown images are acquired on a different day from the enrolled images, (b) degradation in performance does not follow a simple predictable pattern with time between known and unknown image acquisition, and (c) performance figures quoted in the literature based on known and unknown image sets acquired on the same day may have little practical value.

Keywords

Face Recognition Face Image Face Recognition System Automatic Face Gallery Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Patrick J. Flynn
    • 1
  • Kevin W. Bowyer
    • 1
  • P. Jonathon Phillips
    • 2
  1. 1.Dept of Computer Science and EngineeringUniversity of Notre DameNotre DameUSA
  2. 2.National Institute of Standards and TechnologyGaithersburgUSA

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