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

Facial expression synthesis by radial basis function network and image warping

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

3 Author(s)
Leung, M.Y.Y. ; Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong ; Hung Yen Hui ; King, I.

This paper presents a novel approach in synthesizing various facial expressions by image warping, using spatial displacement of facial landmark point generated by radial basis function (RBF) networks. We trained two RBF networks from test images to obtain these spatial displacement. One RBF network can be used to generate different degrees of expressions, while the other can be used to obtain mixed facial expressions. We discuss the method used and demonstrate the results

Published in:

Neural Networks, 1996., IEEE International Conference on  (Volume:3 )

Date of Conference:

3-6 Jun 1996

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.