@inproceedings{6336e84ba08444bdbaea02bea9ea9422,
title = "Multiview-multiband face recognition system to solve illumination and pose variation",
abstract = "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.",
keywords = "Face recognition, Multiband feature technique, Multiview face recognition system, Wavelet packet transform",
author = "Ch'ng, {Sue Inn} and Seng, {Kah Phooi} and Ang, {Li Minn}",
year = "2010",
doi = "10.1109/ICCSIT.2010.5564099",
language = "English",
isbn = "9781424455386",
series = "Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010",
pages = "384--388",
booktitle = "Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010",
note = "2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010 ; Conference date: 09-07-2010 Through 11-07-2010",
}