Usha Mary Sharma , Kaustubh Bhattacharyya , Uzzal Sharma
The primary goal of this paper is to make a comparative study on various approaches used to identify the person’s face and thereafter recognize their emotion. Among the various techniques implemented, Neural Networks, Hidden Markov Model and Dimensionality reduction techniques have received lot of attention. The face and facial emotion recognition system would require care and efforts in data acquisition, pre-processing, feature extraction, classification and performance evaluation. The main aim of this review paper is to study and compare the well-known techniques used at different stages to recognize the face and its emotion.
English 
Spanish 
Chinese 
Russian 
German 
Japanese 
Portuguese 
Hindi