Face verification across age progressing based on active appearance model and gradient orientation pyramid

Authors:
Xing Wu;Ji-Xiang Du;Chuan-Min Zhai
Affiliations:
Department of Computer Science and Technology, Huaqiao University, Xiamen, China;Department of Computer Science and Technology, Huaqiao University, Xiamen, China;Department of Computer Science and Technology, Huaqiao University, Xiamen, China
Venue:
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories
Year:
2013

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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.