17 April 2006 Expression-invariant multispectral face recognition: you can smile now!
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Proceedings Volume 6202, Biometric Technology for Human Identification III; 620204 (2006); doi: 10.1117/12.665697
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States
Abstract
Face recognition performance has always been affected by the different facial expressions a subject may display. In this paper, we present an extension to the UR3D face recognition algorithm, which enables us to decrease the discrepancy in its performance for datasets from subjects with and without a neutral facial expression, from 15% to 3%.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ioannis A. Kakadiaris, George Passalis, George Toderici, Yunliang Lu, Nikos Karampatziakis, Najam Murtuza, Theoharis Theoharis, "Expression-invariant multispectral face recognition: you can smile now!", Proc. SPIE 6202, Biometric Technology for Human Identification III, 620204 (17 April 2006); doi: 10.1117/12.665697; https://doi.org/10.1117/12.665697
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KEYWORDS
Facial recognition systems

Databases

Detection and tracking algorithms

Ultraviolet radiation

3D modeling

Biometrics

Thermography

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