Analysis of Facial Expression Recognition Technology Based on Deep Learning
This paper describes a new deep learning based expression recognition method that can optimize feature extraction in existing expression recognition methods.An integrated classifier of neural networks(NN)and support vector machines(SVM)is used to classify facial expressions such as normal,happy,sad,surprised,fearful,and angry.The performance of the proposed optimization algorithm is evaluated using JAFFE,CK+,Pie datasets,and some real-world images.
NETL
NSTL
万方数据
