Piecewise linear aging function for facial age estimation

Authors:
Shenglan Ben;Jiansheng Chen;Guangda Su
Affiliations:
State Key Laboratory of Intelligent Technology and Systems, Department of Electronic Engineering, Tsinghua University, Beijing, China;State Key Laboratory of Intelligent Technology and Systems, Department of Electronic Engineering, Tsinghua University, Beijing, China;State Key Laboratory of Intelligent Technology and Systems, Department of Electronic Engineering, Tsinghua University, Beijing, China
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

Instead of constructing a complex aging model on the whole age space, a piecewise linear aging function is proposed to approximate the ground truth aging function locally. To handle the 'regression toward the mean' problem of local aging function regression, a weighting strategy is used to assign larger weights to the samples near typical aging appearance of each age. In age estimation step, a global aging function is used to predict the test sample's rough age range and the local linear aging function on that range is then used to give a final result. Experimental results show that our method can get more accuracy results in facial age estimation.