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 [BibTeX] [Marc21]
Local Binary Patterns as an Image Preprocessing for Face Authentication
Type of publication: Idiap-RR
Citation: heusch:rr05-76
Number: Idiap-RR-76-2005
Year: 2005
Institution: IDIAP
Abstract: One of the major problem in face authentication systems is to deal with variations in illumination. In a \mbox{realistic} scenario, it is very likely that the lighting conditions of the probe image does not correspond to those of the gallery image, hence there is a need to handle such variations. In this work, we present a new preprocessing algorithm based on Local Binary Patterns (LBP): a texture representation is derived from the input face image before being forwarded to the classifier. The efficiency of the proposed approach is empirically demonstrated using both an appearance-based (LDA) and a feature-based (HMM) face authentication systems on two databases: BANCA and XM2VTS (with its darkened set). Conducted experiments show a significant improvement in terms of verification error rates and compare to results obtained with state-of-the-art preprocessing techniques.
Userfields: ipdmembership={vision},
Keywords:
Projects Idiap
Authors Heusch, Guillaume
Rodriguez, Yann
Marcel, S├ębastien
Crossref by heusch:AFGR:2006
Added by: [UNK]
Total mark: 0
Attachments
  • heusch-idiap-rr-05-76.pdf
  • heusch-idiap-rr-05-76.ps.gz
Notes