Recently, face recognition has been widely used in lives, but it can still only maintain good results in specific scenarios. In different tasks, changes in the external environment will cause diversified changes in face images, such as panoramic video. The barrel distortion of the panoramic images generated by the fisheye lens will cause the face images to be deformed to varying degrees around the fisheye image. A new model DCMNet is proposed in this paper and a panoramic face dataset PIFI is created based on the panoramic video system. After experiments are conducted on different datasets, the results show that our model has better results on popular datasets and panoramic dataset.