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

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

Research output: Book chapter/Published conference paperConference paper

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 languageEnglish
Title of host publicationProceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
Pages384-388
Number of pages5
Volume5
DOIs
Publication statusPublished - 01 Nov 2010
Event2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010 - Chengdu, China
Duration: 09 Jul 201011 Jul 2010

Conference

Conference2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010
CountryChina
CityChengdu
Period09/07/1011/07/10

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  • 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 (Vol. 5, pp. 384-388). [5564099] https://doi.org/10.1109/ICCSIT.2010.5564099