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 proceedingConference contribution

4 Scopus citations


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 languageEnglish (US)
Title of host publicationBiometric Technology for Human Identification III
StatePublished - 2006
EventBiometric Technology for Human Identification III - Kissimmee, FL, United States
Duration: Apr 17 2006Apr 18 2006

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


ConferenceBiometric Technology for Human Identification III
Country/TerritoryUnited States
CityKissimmee, FL


  • 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


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