Abstract
In recent years, statistically motivated approaches for the registration and tracking of non-rigid objects, such as the Active Appearance Model (AAM), have become very popular. A major drawback of these approaches is that they require manual annotation of all training images which can be tedious and error prone. In this paper, a MPEG-4 based approach for the automatic annotation of frontal face images, having any arbitrary facial expression, from a single annotated frontal image is presented. This approach utilises the MPEG-4 based facial animation system to generate virtual images having different expressions and uses the existing AAM framework to automatically annotate unseen images. The approach demonstrates an excellent generalisability by automatically annotating face images from two different databases
Original language | English |
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Title of host publication | Proceedings of the 16th IEEE International Conference on Image Processing (ICIP) 2009 |
Editors | Magdy Bayoumi |
Place of Publication | Egypt |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 2445-2448 |
Number of pages | 4 |
Volume | 1 |
ISBN (Print) | 9781424456543 |
DOIs | |
Publication status | Published - 2009 |
Event | 16th International Conference on Image Processing (ICIP), 2009 - Cairo, Egypt Duration: 7 Nov 2009 → 10 Nov 2009 |
Conference
Conference | 16th International Conference on Image Processing (ICIP), 2009 |
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Country/Territory | Egypt |
City | Cairo |
Period | 7/11/09 → 10/11/09 |