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Carnegie Mellon Robotics Institute

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Abstract

In many face recognition tasks the pose and illumination conditions of the probe and gallery images are different. In other cases multiple gallery or probe images may be available, each captured from a different pose and under a different illumination. We propose a face recognition algorithm which can use any number of gallery images per subject captured at arbitrary poses and under arbitrary illumination, and any number of probe images, again captured at arbitrary poses and under arbitrary illumination. The algorithm operates by estimating the Fisher light-field of the subject's head from the input gallery or probe images. Matching between the probe and gallery is then performed using the Fisher light-fields.

Notes

Sponsor: US Office of Naval Research

Grant ID: N00014-00-1-0915

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, Face Recognition Across Illumination, Face Recognition, Light-fields

Text Reference

Ralph Gross, Iain Matthews, and Simon Baker, "Fisher Light-Fields for Face Recognition Across Pose and Illumination," Proceedings of the German Symposium on Pattern Recognition (DAGM), September, 2002.

BibTeX Reference

@inproceedings{Gross_2002_4017,
   author = "Ralph Gross and Iain Matthews and Simon Baker",
   title = "Fisher Light-Fields for Face Recognition Across Pose and Illumination",
   booktitle = "Proceedings of the German Symposium on Pattern Recognition (DAGM)",
   month = "September",
   year = "2002",
}

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