Facial expression recognition based on region specific appearance and geometric features
Deepak Ghimire, Sunghwan Jeong, Sun-Hong Yoon, Juhwan Choi, Joonwhoan Lee · 2015
In this paper we propose a new method for the recognition of facial expressions from single image frame that uses combination of appearance and geometric features with support vector machines classification. In general, appearance features for the recognition of facial expressions are computed by dividing face region into regular grid (holistic representation). But, in this paper we extracted region specific appearance features by dividing whole face region into domain specific local regions. Geometric features are also extracted from corresponding domain specific regions. The results of facial expressions recognition using features from domain specific regions are also compared with the results obtained using holistic representation. The performance of the proposed facial expression recognition system has been validated on two public databases: CK+ and MUG facial expression dataset.