Illumination normalization for face recognition using the census transform

Ji Hoon Kim, Jong Geun Park, Chulhee Lee

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

2 Citations (Scopus)

Abstract

A problem with face recognition is that lighting conditions can affect performance since facial features are easily distorted by varying illumination conditions. To address this problem, we present a new preprocessing method using the census transform. In the proposed method, we generate a number of binary values from the current pixel by comparing it with the neighbor pixels, and encode the binary values into a single gray scale image. Finally, we apply the principal component analysis (PCA) to the gray scale images. Experiments show that the proposed method provides promising results.

Original languageEnglish
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Computational Imaging VI
DOIs
Publication statusPublished - 2008
EventComputational Imaging VI - San Jose, CA, United States
Duration: 2008 Jan 282008 Jan 29

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6814
ISSN (Print)0277-786X

Other

OtherComputational Imaging VI
CountryUnited States
CitySan Jose, CA
Period08/1/2808/1/29

All Science Journal Classification (ASJC) codes

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

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  • Cite this

    Kim, J. H., Park, J. G., & Lee, C. (2008). Illumination normalization for face recognition using the census transform. In Proceedings of SPIE-IS and T Electronic Imaging - Computational Imaging VI [681416] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 6814). https://doi.org/10.1117/12.776193