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.
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© 2007 Springer Berlin Heidelberg
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Wang, S., Wang, Y., Chen, X. (2007). Weighted Active Appearance Models. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2007. Lecture Notes in Computer Science, vol 4681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74171-8_132
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DOI: https://doi.org/10.1007/978-3-540-74171-8_132
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74170-1
Online ISBN: 978-3-540-74171-8
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