Abstract
Face verification in the presence of age progression is an important problem that has not been widely addressed. In this paper, we propose to use the Active Appearance Model (AAM) and Gradient Orientation Pyramid (GOP) feature representation for this problem. We use the AAM on the dataset and then get the representation of Gradient Orientation on a hierarchical model, which the appearance of GOP. When combined with a support vector machine (SVM), the representation demonstrates excellent performance in our experiments.
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Wu, X., Du, JX., Zhai, CM. (2013). Face Verification across Age Progressing Based on Active Appearance Model and Gradient Orientation Pyramid. In: Huang, DS., Bevilacqua, V., Figueroa, J.C., Premaratne, P. (eds) Intelligent Computing Theories. ICIC 2013. Lecture Notes in Computer Science, vol 7995. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39479-9_51
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DOI: https://doi.org/10.1007/978-3-642-39479-9_51
Publisher Name: Springer, Berlin, Heidelberg
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