Weighted active appearance models

Authors:
Shuchang Wang;Yangsheng Wang;Xiaolu Chen
Affiliations:
Institute of Automation, Chinese Academy of Science, Beijing, China;Institute of Automation, Chinese Academy of Science, Beijing, China;Institute of Automation, Chinese Academy of Science, Beijing, China
Venue:
ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
Year:
2007

Citing 6
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Abstract

This paper presents a robust real-time face alignment algorithm based on Active Appearance Models(AAMs). Fitting an AAM to an image is considered to be a problem of minimizing the error between the input image and the closest model instance. If the input image is far from the model space, the fitting process will fail. This can always occur in application because of illumination variation. So, building a good appearance space is very important. We propose a weighted cost function which can incorporate intensity and edgeness of an image into AAMs framework. To achieve high performance, Active Appearance Models proposed by Iain Matthews is employed.