Title :
Hierarchical multistream recognition of facial expressions
Author :
Chibelushi, C.C. ; Bourel, F.
Author_Institution :
Sch. of Comput., Staffordshire Univ., Stafford, UK
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;
Journal_Title :
Vision, Image and Signal Processing, IEE Proceedings -
DOI :
10.1049/ip-vis:20040748