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

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

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

Materials and Manufacturing Engineering

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

4 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
Pages	384-388
Number of pages	5
DOIs	https://doi.org/10.1109/ICCSIT.2010.5564099
Publication status	Published - 2010
Externally published	Yes
Event	2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010 - Chengdu, China Duration: 9 Jul 2010 → 11 Jul 2010

Publication series

Name	Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
Volume	5

Conference

Conference	2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
Country/Territory	China
City	Chengdu
Period	9/07/10 → 11/07/10

Keywords

Face recognition
Multiband feature technique
Multiview face recognition system
Wavelet packet transform

Access to Document

10.1109/ICCSIT.2010.5564099

Cite this

Ch'ng, S. I., Seng, K. P., & Ang, L. M. (2010). Multiview-multiband face recognition system to solve illumination and pose variation. In Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010 (pp. 384-388). Article 5564099 (Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010; Vol. 5). https://doi.org/10.1109/ICCSIT.2010.5564099

Ch'ng, Sue Inn ; Seng, Kah Phooi ; Ang, Li Minn. / Multiview-multiband face recognition system to solve illumination and pose variation. Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010. 2010. pp. 384-388 (Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010).

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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",

}

Ch'ng, SI, Seng, KP & Ang, LM 2010, Multiview-multiband face recognition system to solve illumination and pose variation. in Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010., 5564099, Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010, vol. 5, pp. 384-388, 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010, Chengdu, China, 9/07/10. https://doi.org/10.1109/ICCSIT.2010.5564099

Multiview-multiband face recognition system to solve illumination and pose variation. / Ch'ng, Sue Inn; Seng, Kah Phooi; Ang, Li Minn.
Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010. 2010. p. 384-388 5564099 (Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010; Vol. 5).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - Multiview-multiband face recognition system to solve illumination and pose variation

AU - Ch'ng, Sue Inn

AU - Seng, Kah Phooi

AU - Ang, Li Minn

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

KW - Face recognition

KW - Multiband feature technique

KW - Multiview face recognition system

KW - Wavelet packet transform

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U2 - 10.1109/ICCSIT.2010.5564099

DO - 10.1109/ICCSIT.2010.5564099

M3 - Conference Proceeding

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SN - 9781424455386

T3 - Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010

SP - 384

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BT - Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010

T2 - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010

Y2 - 9 July 2010 through 11 July 2010

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Ch'ng SI, Seng KP, Ang LM. Multiview-multiband face recognition system to solve illumination and pose variation. In Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010. 2010. p. 384-388. 5564099. (Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010). doi: 10.1109/ICCSIT.2010.5564099

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

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