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Authors: Madeena Sultana ; Marina Gavrilova and Svetlana Yanushkevich

Affiliation: University of Calgary, Canada

Keyword(s): Face Recognition, Pseudo Zernike Moment (PZM), k-Nearest Neighbors (k-NN), Discrete Wavelet Transform (DWT), Face Normalization.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis ; Image Enhancement and Restoration ; Image Formation and Preprocessing ; Shape Representation and Matching

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
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 (VISIGRAPP 2014) - Volume 2: VISAPP; ISBN 978-989-758-003-1; ISSN 2184-4321, SciTePress, pages 216-221. DOI: 10.5220/0004842602160221

@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 (VISIGRAPP 2014) - Volume 2: VISAPP},
year={2014},
pages={216-221},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004842602160221},
isbn={978-989-758-003-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 2: VISAPP
TI - Expression, Pose, and Illumination Invariant Face Recognition using Lower Order Pseudo Zernike Moments
SN - 978-989-758-003-1
IS - 2184-4321
AU - Sultana, M.
AU - Gavrilova, M.
AU - Yanushkevich, S.
PY - 2014
SP - 216
EP - 221
DO - 10.5220/0004842602160221
PB - SciTePress