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Carnegie Mellon Robotics Institute

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Abstract

The last decade has seen automatic face recognition evolve from small scale research systems to a wide range of commercial products. Driven by the FERET face database and evaluation protocol, the currently best commercial systems achieve recognition accuracies comparable to those of fingerprint recognizers. In these experiments however, only frontal face images taken under controlled lighting conditions were used. As the use of face recognition systems expands towards less restricted environments, the development of algorithms for view and illumination invariant face recognition becomes important. However, the performance of current algorithms degrades significantly when tested across pose and illumination as documented in a number of evaluations. In this chapter we review previously proposed algorithms for pose and illumination invariant face recognition. We then describe in detail two successful appearance-based algorithms for face recognition across pose, eigen light-fields and Bayesian face subregions. We furthermore show how both of these algorithms can be extended towards face recognition across pose and illumination.

Notes

Sponsor: U.S. Office of Naval Research/Department of Defense

Grant ID: N00014-00-1-0915/N41756-03-C4024

Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Associated Lab(s) / Group(s): Human Identification at a Distance, Face Group, Component Analysis

Associated Project(s): Face Recognition Across Pose and Face Recognition

Number of pages: 27

Text Reference

Ralph Gross, Simon Baker, Iain Matthews, and Takeo Kanade, "Face Recognition Across Pose and Illumination," Handbook of Face Recognition, Stan Z. Li and Anil K. Jain, ed., Springer-Verlag, 2004

BibTeX Reference

@incollection{Gross_2004_4487,
   author = "Ralph Gross and Simon Baker and Iain Matthews and Takeo Kanade",
   editor = "Stan Z. Li and Anil K. Jain",
   title = "Face Recognition Across Pose and Illumination",
   booktitle = "Handbook of Face Recognition",
   publisher = "Springer-Verlag",
   month = "June",
   year = "2004",
}

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