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Face Recognition Under Varying Pose

Author(s)
Beymer, David J.
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Abstract
While researchers in computer vision and pattern recognition have worked on automatic techniques for recognizing faces for the last 20 years, most systems specialize on frontal views of the face. We present a face recognizer that works under varying pose, the difficult part of which is to handle face rotations in depth. Building on successful template-based systems, our basic approach is to represent faces with templates from multiple model views that cover different poses from the viewing sphere. Our system has achieved a recognition rate of 98% on a data base of 62 people containing 10 testing and 15 modelling views per person.
Date issued
1993-12-01
URI
http://hdl.handle.net/1721.1/6621
Other identifiers
AIM-1461
Series/Report no.
AIM-1461

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  • AI Memos (1959 - 2004)

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