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Synthetic Eyes

  • Behrooz Kamgar-Parsi
  • Behzad Kamgar-Parsi
  • Anil K. Jain
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2688)

Abstract

It is difficult to have a dependable face recognition system when only a single (or a few) image(s) per subject is used in the training set. Due to significant natural facial variations, e.g., facial expression, and appearances due to lighting condition, and head pose (even when dealing with “frontal view”), the use of a collection of images covering these variations and appearances will be of great help. We show that the expansion of the training set, by careful construction of synthetic images that capture all or most of the desired appearances can significantly improve the performance, especially when only one (or several, but very similar) real image(s) of a given individual are available. To have a better understanding of the issues involved, we address an inherently simpler problem, i.e. face/identity recognition/verification using only one eye and its associated eyebrow. We will particularly emphasize the synthesis and automation issues. Moreover, our experimental results indicate that the eye is rich in discriminative information, perhaps providing more information than what is normally utilized by humans. This wealth of information, however, can be exploited by machines for close-up images. Finally, we speculate that a similar improvement can be achieved when the training set is enriched with carefully generated synthetic images of the entire face.

Keywords

Face Recognition Real Image Lower eyeLid Synthetic Image Head Tilt 
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

  • Behrooz Kamgar-Parsi
    • 1
  • Behzad Kamgar-Parsi
    • 1
  • Anil K. Jain
    • 2
  1. 1.Information Technology DivisionNaval Research LaboratoryWashington
  2. 2.Department of Computer ScienceMichigan State UniversityEast Lansing

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