Pose-invariant facial verification for a controlled entry system using optical/digital processing

Alan Lin; Christopher Magnell; Charles L. Woods

doi:10.1117/12.604055

28 March 2005 Pose-invariant facial verification for a controlled entry system using optical/digital processing

Alan Lin, Christopher Magnell, Charles L. Woods

Proceedings Volume 5816, Optical Pattern Recognition XVI; (2005) https://doi.org/10.1117/12.604055
Event: Defense and Security, 2005, Orlando, Florida, United States

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.

Citation Download Citation

Alan Lin, Christopher Magnell, and Charles L. Woods "Pose-invariant facial verification for a controlled entry system using optical/digital processing", Proc. SPIE 5816, Optical Pattern Recognition XVI, (28 March 2005); https://doi.org/10.1117/12.604055

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