Dynamic face acquired under video and unconstrained conditions is subject to complex interference factors such as pose

expression and side face

which makes it more difficult to recognize.In order to solve the above problems

a dynamic face recognition algorithm based on Joint Loss and constant mapping is proposed.Resnet 34 is used as basic network.SoftMax Loss

Center Loss and Joint Loss are combined to expand the distance of face inter-classes and reduce the distance of face intra-classes.At the same time

deep residual constant mapping module is introduced into the network to further reduce the interference of side faces.On LFW

SLFW

YTF

MegaFace and other data sets

the algorithm shows stronger performance and can complete the task of real-time video dynamic face recognition on the experimental platform.