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Citation
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HERO ID
7195282
Reference Type
Journal Article
Title
Illumination normalization for face recognition - A comparative study of conventional vs. perception-inspired algorithms
Author(s)
Dunker, P; Keller, M; ,
Year
2008
Publisher
INSTICC-INST SYST TECHNOLOGIES INFORMATION CONTROL & COMMUNICATION
Location
SETUBAL
Page Numbers
237-243
Web of Science Id
WOS:000256983100040
Abstract
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.
Editor(s)
Encarnacao, P; Veloso, A;
ISBN
*****************
Conference Name
1st International Conference on Bio-Inspired Systems and Signal Processing
Conference Location
Funchal, PORTUGAL
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