REPORT marcel:rr06-47/IDIAP Robust-to-Illumination Face Localisation using Active Shape Models and Local Binary Patterns Marcel, Sébastien Keomany, Jean Rodriguez, Yann EXTERNAL https://publications.idiap.ch/attachments/reports/2006/marcel-idiap-rr-06-47.pdf PUBLIC Idiap-RR-47-2006 2006 IDIAP Submitted for publication 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.