DocumentCode :
1091263
Title :
Hierarchical multistream recognition of facial expressions
Author :
Chibelushi, C.C. ; Bourel, F.
Author_Institution :
Sch. of Comput., Staffordshire Univ., Stafford, UK
Volume :
151
Issue :
4
fYear :
2004
Firstpage :
307
Lastpage :
313
Abstract :
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.
Keywords :
face recognition; feature extraction; fuzzy set theory; gesture recognition; automatic facial expression recognition; fuzzy sets; hierarchical multistream recognition; interstream coupling; intrastream feature distribution; state-based modelling;
fLanguage :
English
Journal_Title :
Vision, Image and Signal Processing, IEE Proceedings -
Publisher :
iet
ISSN :
1350-245X
Type :
jour
DOI :
10.1049/ip-vis:20040748
Filename :
1331218
Link To Document :
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