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Proceedings Paper

Pose-invariant facial verification for a controlled entry system using optical/digital processing
Author(s): Alan Lin; Christopher Magnell; Charles L. Woods
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Paper Abstract

We describe a pose-invariant facial verification system for cooperative subjects for use in a controlled entry system. Facial images in several poses are acquired for template correlation to construct synthetic discriminate binary phase only filters (SDBPOF). SDBPOF is used to compensate for variances such as head rotation and tilt. Correlation accuracy is determined by SDBPOF construction. Subject identification based on facial appearance was performed with a digitally simulated 4-f optoelectronic correlator comparing performance between binary phase only filters (BPOFs) and SDBPOFs. Recognition accuracy and false positive rates were determined for each mode of operation.

Paper Details

Date Published: 28 March 2005
PDF: 9 pages
Proc. SPIE 5816, Optical Pattern Recognition XVI, (28 March 2005); doi: 10.1117/12.604055
Show Author Affiliations
Alan Lin, Air Force Research Lab./SNHC (United States)
Christopher Magnell, Univ. of Massachusetts/Lowell (United States)
Charles L. Woods, Air Force Research Lab./SNHC (United States)


Published in SPIE Proceedings Vol. 5816:
Optical Pattern Recognition XVI
David P. Casasent; Tien-Hsin Chao, Editor(s)

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