A STUDY ON ILLUMINATION NORMALIZATION FOR 2D FACE VERIFICATION

Qian Tao, Raymond Veldhuis

Abstract

Illumination normalization is very important for 2D face verification. This study examines the state-of-art illumination normalization methods, and proposes two solutions, namely horizontal Gaussian derivative filters and local binary patterns. Experiments show that our methods significantly improve the generalization capability, while maintaining good discrimination capability of a face verification system. The proposed illumination normalization methods have low requirements on image acquisition, and low computation complexities, and are very suitable for low-end 2D face verification systems.

References

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Paper Citation


in Harvard Style

Tao Q. and Veldhuis R. (2008). A STUDY ON ILLUMINATION NORMALIZATION FOR 2D FACE VERIFICATION . In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 42-49. DOI: 10.5220/0001082900420049


in Bibtex Style

@conference{visapp08,
author={Qian Tao and Raymond Veldhuis},
title={A STUDY ON ILLUMINATION NORMALIZATION FOR 2D FACE VERIFICATION},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={42-49},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001082900420049},
isbn={978-989-8111-21-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - A STUDY ON ILLUMINATION NORMALIZATION FOR 2D FACE VERIFICATION
SN - 978-989-8111-21-0
AU - Tao Q.
AU - Veldhuis R.
PY - 2008
SP - 42
EP - 49
DO - 10.5220/0001082900420049