ILLUMINATION NORMALIZATION FOR FACE RECOGNITION - A Comparative Study of Conventional vs. Perception-inspired Algorithms

Peter Dunker, Melanie Keller

Abstract

Face recognition has been actively investigated by the scientific community and has already taken its place in modern 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.

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Paper Citation


in Harvard Style

Dunker P. and Keller M. (2008). ILLUMINATION NORMALIZATION FOR FACE RECOGNITION - A Comparative Study of Conventional vs. Perception-inspired Algorithms . In Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008) ISBN 978-989-8111-18-0, pages 237-243. DOI: 10.5220/0001063702370243


in Bibtex Style

@conference{biosignals08,
author={Peter Dunker and Melanie Keller},
title={ILLUMINATION NORMALIZATION FOR FACE RECOGNITION - A Comparative Study of Conventional vs. Perception-inspired Algorithms},
booktitle={Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008)},
year={2008},
pages={237-243},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001063702370243},
isbn={978-989-8111-18-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008)
TI - ILLUMINATION NORMALIZATION FOR FACE RECOGNITION - A Comparative Study of Conventional vs. Perception-inspired Algorithms
SN - 978-989-8111-18-0
AU - Dunker P.
AU - Keller M.
PY - 2008
SP - 237
EP - 243
DO - 10.5220/0001063702370243