Title :
Real-time Expression recognition System using Active Appearance Model and EFM
Author :
Cho, Kyoung-Sic ; Kim, Yong-Guk ; Lee, Yang-Bok
Author_Institution :
Sch. of Comput. Eng., Sejong Univ., Seoul
Abstract :
We present a continuous facial expression recognition system based on active appearance model (AAM) and enhanced fisher-discriminant model (EFM). AAM has been widely used in face tracking, face recognition, and object recognition tasks. In this study, we have implemented an independent AAM using inverse compositional image alignment method, which is a useful for the real-time system, because of its fast performance. The evaluation of this system carried out with the standard Cohn-Kanade facial expression database
Keywords :
face recognition; image matching; real-time systems; active appearance model; continuous facial expression recognition system; enhanced fisher-discriminant model; inverse compositional image alignment; real-time expression recognition system; Active appearance model; Cameras; Emotion recognition; Face recognition; Humans; Image databases; Object recognition; Principal component analysis; Real time systems; Shape measurement;
Conference_Titel :
Computational Intelligence and Security, 2006 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
1-4244-0605-6
Electronic_ISBN :
1-4244-0605-6
DOI :
10.1109/ICCIAS.2006.294234
