Prof. Ming Li Profile

Prof. Ming Li

at Univ of Science and Technology of China

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Proceedings Article | 10 April 2018 Paper

Dynamic facial expression recognition based on geometric and texture features

Ming Li, Zengfu Wang

Proceedings Volume 10615, 106150T (2018) https://doi.org/10.1117/12.2302933

KEYWORDS: Facial recognition systems, Feature extraction, Video, Eye, Mouth

Read Abstract +

Recently, dynamic facial expression recognition in videos has attracted growing attention. In this paper, we propose a novel dynamic facial expression recognition method by using geometric and texture features. In our system, the facial landmark movements and texture variations upon pairwise images are used to perform the dynamic facial expression recognition tasks. For one facial expression sequence, pairwise images are created between the first frame and each of its subsequent frames. Integration of both geometric and texture features further enhances the representation of the facial expressions. Finally, Support Vector Machine is used for facial expression recognition. Experiments conducted on the extended Cohn-Kanade database show that our proposed method can achieve a competitive performance with other methods.

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