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Carnegie Mellon Robotics Institute

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Abstract

In many face recognition tasks the pose 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. We propose a face recognition algorithm which can use any number of gallery images per subject captured at arbitrary poses, and any number of probe images, again captured at arbitrary poses. The algorithm operates by estimating the eigen 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 eigen light-fields. We present results on the CMU PIE and the FERET face databases.

Keywords

Face recognition across pose, eigen light-fields, appearance-based object recognition, image re-rendering.

Notes

Sponsor: 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): Light-fields, Face Recognition Across Pose, Face Recognition

Number of pages: 8

Text Reference

Ralph Gross, Iain Matthews, and Simon Baker, "Eigen Light-Fields and Face Recognition Across Pose," Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition, May, 2002, pp. 1 - 7.

BibTeX Reference

@inproceedings{Gross_2002_3920,
   author = "Ralph Gross and Iain Matthews and Simon Baker",
   title = "Eigen Light-Fields and Face Recognition Across Pose",
   booktitle = "Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition",
   pages = "1 - 7",
   month = "May",
   year = "2002",
}

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