Bayesian age estimation on face images

  • Authors:
  • Chung-Chun Wang;Yi-Chueh Su;Chiou-Ting Hsu;Chia-Wen Lin;H. Y. Mark Liao

  • Affiliations:
  • Department of Computer Science, National Tsing Hua University;Department of Computer Science, National Tsing Hua University;Department of Computer Science, National Tsing Hua University;Department of Electrical Engineering, National Tsing Hua University;Institute of Information Science, Academia Sinica

  • Venue:
  • ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
  • Year:
  • 2009

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Abstract

This paper proposes to formulate the age estimation on face images as a Bayesian estimation problem. The proposed framework incorporates a probabilistic model on face aging distribution into the formulation. Individual-specific prior information as well as individual-specific aging models, if available, could then be easily included into the unified age estimation framework. We conduct experiments on the publicly available FG-NET database and compare the estimation results with existing methods. The experimental results demonstrate that, by combining the probabilistic modeling of facial feature distribution, the proposed method indeed outperforms the existing methods.