US EPA

7195282 

Journal Article 

Illumination normalization for face recognition - A comparative study of conventional vs. perception-inspired algorithms 

Dunker, P; Keller, M; , 

2008 

INSTICC-INST SYST TECHNOLOGIES INFORMATION CONTROL & COMMUNICATION 

SETUBAL 

237-243 

WOS:000256983100040 

Face recognition has been actively investigated by the scientific community and has already taken its place in modem consumer software. However, there are still major challenges remaining e.g. preventing negative influence from varying illumination, even with well known face recognition systems. To reduce the performance drop off caused by illumination, normalization methods can be applied as pre-processing step. Well known approaches are linear regression or local operations. In this publication we present the results of a two-step evaluation for real-world applications of a wide range of state-of-the-art illumination normalization algorithms. Further we present a new taxonomy of these methods and depict advanced algorithms motivated by the pre-eminent human abilities of illumination normalization. Additionally we introduce a recent bio-inspired algorithm based on diffusion filters that outperforms most of the known algorithms. Finally we deduce the theoretical potentials and practical applicability of the normalization methods from the evaluation results. 

Encarnacao, P; Veloso, A; 

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1st International Conference on Bio-Inspired Systems and Signal Processing 

Funchal, PORTUGAL