Bayesian age estimation on face images

Chung-Chun Wang, Yi-Chueh Su, Chiou-Ting Hsu, Chia-Wen Lin, Hong-Yuan Mark Liao

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.