Abstract
In order to achieve subject-independent facial expression recognition and obtain robustness against illumination variety and image deformation, facial expression recognition methods based on Gabor wavelet transformation and elastic templates matching are presented in this paper. Firstly, given a still image containing facial expression information, preprocessors are executed. Secondly, Gabor wavelets are adopted to extract expression features. Then the elastic graph for expression features is constructed. Finally, elastic templates matching algorithm is used to recognize facial expression. Experiments show that the expression features can be extracted effectively by Gabor wavelet transformation and high recognition rate can be obtained using elastic templates matching algorithm.
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