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 [BibTeX] [Marc21]
Robust-to-Illumination Face Localisation using Active Shape Models and Local Binary Patterns
Type of publication: Idiap-RR
Citation: marcel:rr06-47
Number: Idiap-RR-47-2006
Year: 2006
Institution: IDIAP
Note: Submitted for publication
Abstract: This paper addresses the problem of locating facial features in images of frontal faces taken under different lighting conditions. The well-known Active Shape Model method proposed by Cootes {\it et al.} is extended to improve its robustness to illumination changes. For that purpose, we introduce the use of Local Binary Patterns (LBP). Three different incremental approaches combining ASM with LBP are presented: profile-based LBP-ASM, square-based LBP-ASM and divided-square-based LBP-ASM. Experiments performed on the standard and darkened image sets of the XM2VTS database demonstrate that the divided-square-based LBP-ASM gives superior performance compared to the state-of-the-art ASM. It achieves more accurate results and fails less frequently.
Userfields: ipdmembership={vision},
Projects Idiap
Authors Marcel, S├ębastien
Keomany, Jean
Rodriguez, Yann
Added by: [UNK]
Total mark: 0
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