Facial expression analysis using LBP features
Yanjiang Wang · Computer Engineering and Applications Journal · 2011
In order to effectively extract facial expression feature,a novel facial feature extraction approach for facial expression recognition based on Local Binary Pattern(LBP) is proposed in the paper.Firstlyf,acial expression images'gray level is normalized with the average-variance method.By doing integral projection,some critical facial feature points are located,such as eyebrow,eye,nose and mouth.Then sub-regions belong to each facial component are partitioned.And then facial expression features are presented with LBP histograms of each sub-region,which is divided into several blocks.To validate the rationality of the method proposed,experiments are implemented on JAFEE(Japanese female facial expression database) database.The results illustrate that the method proposed is effective to represent facial expression feature.