Detecting human face and recognizing facial expressions using potential net

The paper deals with the detection of human faces in an image and recognition of their facial expressions using the potential net. Previously, we proposed a method to recognize facial expression using the potential net and KL expansion. In this method, it was necessary to assign a face area manually. This manual process will affect the application of recognition of facial expression to man-machine interaction. In this paper, we propose a method to automatically detect human faces by pattern matching using the potential net and to recognize facial expressions of the detected face area