Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

Robust AAM building for morphing in an image-based facial animation system

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)
Kang Liu ; Inst. fuer Informationsverarbeitung, Leibniz Univ. Hannover, Hannover ; Weissenfeld, A. ; Ostermann, J. ; Xinghan Luo

Facial animation has been combined with text-to-speech synthesis to create innovative multimodal interfaces, such as Web stores and Web-based customer services. This paper presents an image-based facial animation system using active appearance models (AAM) for precisely detecting feature points in the human face, which are required for selecting mouth images from the database of the face model. In order to minimize the impact of human error when creating the training data, a new optimization method for building an AAM is produced. Optimized training set reduces the average feature point location error from 1.15 pixels to 0.17 pixel. The feature points are suitable for automatic morphing between mouth images with large visual differences. Subjective tests show that morphing improves the visual quality of the animation from "fair" to "good".

Published in:

Multimedia and Expo, 2008 IEEE International Conference on

Date of Conference:

June 23 2008-April 26 2008