Computer Science ›› 2018, Vol. 45 ›› Issue (6): 284-290.doi: 10.11896/j.issn.1002-137X.2018.06.050

Special Issue: Face Recognition

• Graphics, Image & Pattern Recognition • Previous Articles     Next Articles

Facial Age Two-steps Estimation Algorithm Based on Label-sensitive Maximum Margin Criterion

XU Xiao-ling1,2, JIN Zhong1,2, BEN Sheng-lan3   

  1. School of Computer Science and Engineering,Nanjing University of Science & Technology,Nanjing 210094,China1;
    Key Laboratory of Intelligent Perception and System for High-Dimensional Information of Ministry of Education,Nanjing University of Science & Technology,Nanjing 210094,China2;
    School of Electronic Science and Engineering,Nanjing University,Nanjing 210023,China3
  • Received:2017-04-18 Online:2018-06-15 Published:2018-07-24

Abstract: Traditional maximum margin criterion usually ignores the differences between classes in the computation of the between-class scatter matrix.However,for facial age estimation,the differences between age labels are very significant.Therefore,this paper proposed a novel dimensionality reduction algorithm,called label-sensitive maximum margin criterion (lsMMC),by introducing a distance metric between the classes.In addition,considering the complicated facial aging process,this paper proposed a two-steps local regression algorithm named K nearest neighbors-label distribution support vector regressor (KNN-LDSVR) for age estimation.The mean absolute error of the proposed facial aging estimation method on the FGNET database subset is 4.1 years,which improves the performance compared with existing age estimation methods.

Key words: Age estimation, Label-sensitive, Local regression, Maximum margin criterion, Two-steps

CLC Number: 

  • TP391.4
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