The invention discloses a facial expression recognition method based on Intra-Class Gap GAN, and the method comprises the following steps: (1), collecting the real-time images of different sources anddifferent expressions of a human face; (2) inputting the image into an Intra-Class Gap GAN neural network model to carry out recognition; and (3) outputting a recognition result. According to the generative adversarial-based facial expression recognition method provided by the invention, compared with a traditional artificial expression feature extraction method, automatic extraction of facial expression features is realized, and compared with slightly early neural network facial expression recognition, the recognition rate is improved, so that expression recognition is accurately carried out.
Facial expression recognition method based on Intra-Class Gap GAN