Nan Sun, Zheng Chen and Richard Day, Glyndwr University, United Kingdom

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

Facial Expression Recognition, Active Shape Model, Feature Digitalisation, Computational Complexity Reduction