The effect of lighting direction/condition on the performance of face recognition algorithms

Gamal Fahmy, Ahmed El-Sherbeeny, Susmita Mandala, Mohamed Abdel-Mottaleb, Hany Ammar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations

Abstract

In this paper, we measure the effect of the lighting direction in facial images on the performance of 2 well-known face recognition algorithms, an appearance based method and a facial feature based method. We collect hundreds/thousands of facial images of subjects with a fixed pose and under different lighting conditions through a unique facial acquisition laboratory designed specifically for this purpose. Then we present a methodology for automatically detecting the lighting direction of different face images based on statistics derived from the image. We also detect if there is any glare regions in some lighting directions. Finally we determine the most reliable lighting direction that will lead to a good quality/high performance facial image from both techniques based on our experiments with the acquired data.

Original languageEnglish (US)
Title of host publicationBiometric Technology for Human Identification III
DOIs
StatePublished - Aug 29 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
Volume6202
ISSN (Print)0277-786X

Other

OtherBiometric Technology for Human Identification III
CountryUnited States
CityKissimmee, FL
Period4/17/064/18/06

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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  • Cite this

    Fahmy, G., El-Sherbeeny, A., Mandala, S., Abdel-Mottaleb, M., & Ammar, H. (2006). The effect of lighting direction/condition on the performance of face recognition algorithms. In Biometric Technology for Human Identification III [62020J] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 6202). https://doi.org/10.1117/12.666527