Expression recognition using fuzzy spatio-temporal modeling

Authors:
T. Xiang;M. K. H. Leung;S. Y. Cho
Affiliations:
School of Computer Engineering, Nanyang Technological University, Singapore 639798, Singapore;School of Computer Engineering, Nanyang Technological University, Singapore 639798, Singapore;School of Computer Engineering, Nanyang Technological University, Singapore 639798, Singapore
Venue:
Pattern Recognition
Year:
2008

Citing 18
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Abstract

In human-computer interaction, there is a need for computer to recognize human facial expression accurately. This paper proposes a novel and effective approach for facial expression recognition that analyzes a sequence of images (displaying one expression) instead of just one image (which captures the snapshot of an emotion). Fourier transform is employed to extract features to represent an expression. The representation is further processed using the fuzzy C means computation to generate a spatio-temporal model for each expression type. Unknown input expressions are matched to the models using the Hausdorff distance to compute dissimilarity values for classification. The proposed technique has been tested with the CMU expression database, generating superior results as compared to other approaches.