Multiview-multiband face recognition system to solve illumination and pose variation

Sue Inn Ch'ng; Kah Phooi Seng; Li-Minn Ang

doi:10.1109/ICCSIT.2010.5564099

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Multiview-multiband face recognition system to solve illumination and pose variation

Conference paper

Peer reviewed

Multiview-multiband face recognition system to solve illumination and pose variation

Sue Inn Ch'ng, Kah Phooi Seng and Li-Minn Ang

2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010, pp.384-388

International Conference on Computer Science and Information Technology (ICCSIT), 3rd (Chengdu, China, 09-Jul-2010–11-Jul-2010)

Institute of Electrical and Electronics Engineers

2010

DOI: https://doi.org/10.1109/ICCSIT.2010.5564099

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Abstract

Face recognition

Multiband feature technique

Multiview face recognition system

Wavelet packet transform

Identifying faces under the influence of illumination and pose can be challenging as the presence of two variations on the same image can greatly change the appearance of a person. Thus, in this paper, we propose a multiview face recognition system that is able to solve illumination and pose face recognition problems. The proposed system uses multiband feature technique to extract features that are invariant to illumination variation and parallel radial basis function neural networks to train different poses. The recognition performance of the proposed system is validated against the Yale B database and compared to other systems implemented on the same database.

Details

Title: Multiview-multiband face recognition system to solve illumination and pose variation
Authors: Sue Inn Ch'ng (Author) - University of Nottingham Malaysia Campus
Kah Phooi Seng (Author) - University of Nottingham Malaysia Campus
Li-Minn Ang (Author) - University of Nottingham Malaysia Campus
Publication details: 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010, pp.384-388
Conference details: International Conference on Computer Science and Information Technology (ICCSIT), 3rd (Chengdu, China, 09-Jul-2010–11-Jul-2010)
Publisher: Institute of Electrical and Electronics Engineers
Date published: 2010
DOI: 10.1109/ICCSIT.2010.5564099
ISBN: 9781424455409
Organisation Unit: University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab
Language: English
Record Identifier: 99513900902621
Output Type: Conference paper

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