Design of face expression recognition algorithm under the multi-scale attention mechanism
In order to optimize the recognition effect of blurred face expression and better obtain the representation data of fa-cial expression,a face expression recognition method under the multi-scale attention mechanism is designed.By zoom and expan-sion,the face expression decoupling representation feature data is extracted from the image,and the extracted decoupling represen-tation feature data is captured through the convolutional neural network.Introduce multiscale attention mechanisms to selectively focus on important expression features.at the same time.Using the multi-channel expression recognition method,the expression in-formation in the face component area is adaptively extracted to identify facial expressions.The experimental analysis results show that the recall rate of face expression recognition corresponding to the four different types of expression labels is always higher than that of the control group,which is more than 98%,and the recognition effect has significant advantages.
NETL
NSTL
万方数据
维普
