Staffordshire University logo
STORE - Staffordshire Online Repository

Hierarchical multistream recognition of facial expressions

Chibelushi, C.C. and Bourel, F. (2004) Hierarchical multistream recognition of facial expressions. IEE Proceedings - Vision, Image, and Signal Processing, 151 (4). pp. 307-313. ISSN 1350245X

Full text not available from this repository.

Abstract or description

Achieving optimal recognition accuracy, particularly under conditions of input data variability, is a challenge for automatic facial expression recognition. However, little research has been devoted to investigating the robustness of automatic expression recognition under adverse conditions. A facial expression modelling approach is proposed for enhancing the robustness of expression recognition. The approach is founded on hierarchical state-based modelling of streams that represent spatially localised expression dynamics. Experimental assessment shows that the proposed model achieves high and stable recognition accuracy over a range of input data degradation. Moreover, interstream coupling as well as the inclusion of adaptive estimation of model reliability and credibility are shown to make a positive contribution to recognition accuracy.

Item Type: Article
Faculty: Previous Faculty of Computing, Engineering and Sciences > Computing
Depositing User: Claude CHIBELUSHI
Date Deposited: 10 Apr 2013 19:18
Last Modified: 24 Feb 2023 13:37
URI: https://eprints.staffs.ac.uk/id/eprint/775

Actions (login required)

View Item View Item

DisabledGo Staffordshire University is a recognised   Investor in People. Sustain Staffs
Legal | Freedom of Information | Site Map | Job Vacancies
Staffordshire University, College Road, Stoke-on-Trent, Staffordshire ST4 2DE t: +44 (0)1782 294000