A Survey on Facial Gesture Recognition
نویسندگان
چکیده
Recently the facial expression recognition has gained broad concentration and fast progress. In this paper, we give a review for the latest advancement of the domestic and international facial gesture recognition technology. Facial Expression Recognition system includes three steps: face detection, expressional feature extraction and expression classification. We concentrate on the method feature extraction of basic gesture which use Gabor filter. We are going to study various Gabor filter technologies, for performance comparison in subject independent facial gesture recognition system. Facial gesture recognition has been a very important topic for research in computer pattern recognition and currently there are several methods of facial gesture recognition system which have different recognition rate. This recognition rate is affected by datasets, feature extraction method and classifier for face recognition. To utilize the information carried by facial gestures, automated reliable, valid, and efficient methods are essential. So, in this paper we will do comparative analysis that helps in improving performance.
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