Facial Expression Recognition Using Digitalised Facial Features Based on Active Shape Model

摘要

Facial Expression Recognition is a hot topic in recent years. As artificial intelligent technologyis growing rapidly, to communicate with machines, facial expression recognition is essential.The recent feature extraction methods for facial expression recognition are similar to facerecognition, and those caused heavy load for calculation. In this paper, Digitalized FacialFeatures based on Active Shape Model method is used to reduce the computational complexityand extract the most useful information from the facial image. The result shows by using thismethod the computational complexity is dramatically reduced, and very good performance wasobtained compared with other extraction methods.