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Optical Engineering

Face recognition with pose and illumination variations using new SVRDM support-vector machine
Author(s): David P. Casasent; Chao Yuan
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Paper Abstract

Face recognition with both pose and illumination variations is considered. In addition, we consider the ability of the classifier to reject nonmember or imposter face inputs; most prior work has not addressed this. A new SVRDM (support-vector representation and discrimination machine) classifier is proposed, and initial face recognition-rejection results are presented.

Paper Details

Date Published: 1 August 2004
PDF: 10 pages
Opt. Eng. 43(8) doi: 10.1117/1.1763935
Published in: Optical Engineering Volume 43, Issue 8
Show Author Affiliations
David P. Casasent, Carnegie Mellon Univ. (United States)
Chao Yuan, Carnegie Mellon Univ. (United States)


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