关键词: 特征提取, 局部二值模式, 局部二值模式直方图序列, 表情识别

Abstract: An facial expression recognition method is proposed based on the Local Binary Pattern（LBP） of feature-points.First，the LBP feature in facial expression recognition is presented.Then the feature-points around the eyes of upper face and the mouth of lower face is fixed which hold rich expression information.And the LBP map of the neighbor field of each feature point is computed as expression feature for facial expression recognition.Experimental results show that，the face normalization is not necessary by using the proposed method，which can improve the facial expression recognition.

Key words: feature extraction, local binary pattern（LBP）, histogram sequence of LBP, facial expression recognition