By Topic

Real-time Expression recognition System using Active Appearance Model and EFM

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Kyoung-Sic Cho ; Sch. of Comput. Eng., Sejong Univ., Seoul ; Yong-Guk Kim ; Yang-Bok Lee

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

Published in:

Computational Intelligence and Security, 2006 International Conference on  (Volume:1 )

Date of Conference:

Nov. 2006