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Age estimation with dynamic age range

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Abstract

Age estimation has been widely used and became more and more important, for its usefulness in various applications. However, accurately predict the age for an unlabeled image is difficult, because there are many factors that have impact on the appearance of a person. Some people look younger than his/her true age, while the others look much older. Therefore, predict an age group or a specific age for a facial image is not good enough. In this paper, we propose a new method to estimate the age of facial image into a dynamic range or a discrete age set rather than a single age or age group. Furthermore, we introduce a new measurement, i.e. Confidence Interval/Confidence Level to evaluate the performance of proposed method. Our experimental results show that the proposed method is promising.

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Authors and Affiliations

  1. College of Computer Science and Technology of Huaqiao University Xiamen, Xiamen, China

    Dehe Lai, Yewang Chen, Xiangyu Luo, Jixiang Du & Tian Wang

Authors
  1. Dehe Lai
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  2. Yewang Chen
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  3. Xiangyu Luo
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  4. Jixiang Du
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  5. Tian Wang
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Corresponding authors

Correspondence to Yewang Chen, Xiangyu Luo or Jixiang Du.

Additional information

This work is supported by National Natural Science Foundation of China (No.61170028,61572206,61175121,51305142); Program for New Century Excellent Talents in Fujian Province University (No.2013FJ-NCET-ZR03);the Grant of the National Science Foundation of Fujian Province (No.2013J06014);Promotion Program for Young and Middle-aged Teacher in Science and Technology Research of Huaqiao University (No.ZQNYX109, ZQNYX108).

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Lai, D., Chen, Y., Luo, X. et al. Age estimation with dynamic age range. Multimed Tools Appl 76, 6551–6573 (2017). https://doi.org/10.1007/s11042-015-3230-0

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