Face expression recognition fusion LBP and local sparse representation
Tang Henglian · Computer Engineering and Applications Journal · 2014
In order to effectively represent facial expression feature, a novel method fusing Local Binary Pattern(LBP)and local sparse representation is proposed for facial expression representation and recognition. The face image is divided into non-uniform local regions based on face features, and the LBP features are calculated for every facial local region.For depicting facial local texture exactly and integrating facial local features, a facial local reconstruction method based on sparse representation is designed. According to the influence on the facial regions for expression, a weighted fusion algorithm is presented to collect all the local reconstruction residuals and address the expression recognition task. The experiments tested on JAFFE2 face expression database demonstrate the proposed method is feasible and robust to facial expression.