Expression, Pose, and Illumination Invariant Face Recognition using Lower Order Pseudo Zernike Moments

Madeena Sultana, Marina Gavrilova, Svetlana Yanushkevich

2014

Abstract

Face recognition is an extremely challenging task with the presence of expression, orientation, and lightning variation. This paper presents a novel expression and pose invariant feature descriptor by combining Daubechies discrete wavelets transform and lower order pseudo Zernike moments. A novel normalization method is also proposed to obtain illumination invariance. The proposed method can recognize face images regardless of facial orientation, expression, and illumination variation using small number of features. An extensive experimental investigation is conducted using a large variation of facial orientation, expression, and illumination to evaluate the performance of the proposed method. Experimental results confirm that the proposed approach obtains high recognition accuracy and computational efficiency under different pose, expression, and illumination conditions.

Paper Citation

in Harvard Style

Sultana M., Gavrilova M. and Yanushkevich S. (2014). Expression, Pose, and Illumination Invariant Face Recognition using Lower Order Pseudo Zernike Moments . In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-003-1, pages 216-221. DOI: 10.5220/0004842602160221

in Bibtex Style

@conference{visapp14,
author={Madeena Sultana and Marina Gavrilova and Svetlana Yanushkevich},
title={Expression, Pose, and Illumination Invariant Face Recognition using Lower Order Pseudo Zernike Moments},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={216-221},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004842602160221},
isbn={978-989-758-003-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)
TI - Expression, Pose, and Illumination Invariant Face Recognition using Lower Order Pseudo Zernike Moments
SN - 978-989-758-003-1
AU - Sultana M.
AU - Gavrilova M.
AU - Yanushkevich S.
PY - 2014
SP - 216
EP - 221
DO - 10.5220/0004842602160221