Expression-invariant multispectral face recognition: You can smile now!

Ioannis A. Kakadiaris; George Passalis; George Toderici; Yunliang Lu; Nikos Karampatziakis; Najam Murtuza; Theoharis Theoharis

doi:10.1117/12.665697

Expression-invariant multispectral face recognition: You can smile now!

Ioannis A. Kakadiaris, George Passalis, George Toderici, Yunliang Lu, Nikos Karampatziakis, Najam Murtuza, Theoharis Theoharis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

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%.

Original language	English (US)
Title of host publication	Biometric Technology for Human Identification III
DOIs	https://doi.org/10.1117/12.665697
State	Published - 2006
Event	Biometric Technology for Human Identification III - Kissimmee, FL, United States Duration: Apr 17 2006 → Apr 18 2006

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	6202
ISSN (Print)	0277-786X

Conference

Conference	Biometric Technology for Human Identification III
Country/Territory	United States
City	Kissimmee, FL
Period	4/17/06 → 4/18/06

Keywords

Biometrics
Face Recognition
Multispectral Biometrics
Verification

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Access to Document

10.1117/12.665697

Cite this

Kakadiaris, I. A., Passalis, G., Toderici, G., Lu, Y., Karampatziakis, N., Murtuza, N., & Theoharis, T. (2006). Expression-invariant multispectral face recognition: You can smile now! In Biometric Technology for Human Identification III Article 620204 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 6202). https://doi.org/10.1117/12.665697

Expression-invariant multispectral face recognition: You can smile now! / Kakadiaris, Ioannis A.; Passalis, George; Toderici, George et al.
Biometric Technology for Human Identification III. 2006. 620204 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 6202).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kakadiaris, IA, Passalis, G, Toderici, G, Lu, Y, Karampatziakis, N, Murtuza, N & Theoharis, T 2006, Expression-invariant multispectral face recognition: You can smile now! in Biometric Technology for Human Identification III., 620204, Proceedings of SPIE - The International Society for Optical Engineering, vol. 6202, Biometric Technology for Human Identification III, Kissimmee, FL, United States, 4/17/06. https://doi.org/10.1117/12.665697

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AB - 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%.

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KW - Verification

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Expression-invariant multispectral face recognition: You can smile now!

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this