Cart (Loading....) | Create Account
Close category search window
 

Facial expression recognition combined with robust face detection in a convolutional neural network

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
$31 $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

4 Author(s)
Matsugu, M. ; Canon Res. Center, Atsugi, Japan ; Mori, K. ; Mitari, Y. ; Keneda, Y.

Reliable detection of ordinary facial expressions (e.g., smile) despite the variability among individuals as well as face appearance is an important step toward the realization of perceptual user interface and the next generation imaging system with autonomous perception of persons. We describe a robust facial expression recognition system using the result of face detection by a convolutional neural network and rule-based processing. In this study, we address the problem of subject independence as well as translation, rotation, and scale invariance in the recognition of facial expression. The result shows reliable detection of smiles with recognition rate of 97.6% for 5600 still images of more than 10 subjects. The proposed algorithm demonstrated the ability to discriminate smiling from talking based on the saliency score in the proposed algorithm. To the best of our knowledge, it is the first facial expression recognition model with the property of subject independence combined with robustness to variability in facial appearance.

Published in:

Neural Networks, 2003. Proceedings of the International Joint Conference on  (Volume:3 )

Date of Conference:

20-24 July 2003

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.