Facial Expression Recognition Based on Siamese Aligned Convolutional Neural Network
Facial expressions can better reproduce human real thoughts.Facial expressions analysis has great practical value in healthcare,education,criminal investigation,transportation and human-computer interaction.In this paper,the Siamese aligned neural network is designed to achieve a more satisfactory recognition accuracy by segmenting facial im-ages left and right.On FER2013 and CK+,the accuracy improved by 0.9 and 0.6 percentages,respectively.The experi-mental results illustrate that our model is effective in recognizing facial expressions.
NETL
NSTL
万方数据
