中文

Chinese Journal of Nature ›› 2018, Vol. 40 ›› Issue (5): 355-362.doi: 10.3969/j.issn.0253-9608.2018.05.005

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Brief probe into deep regression forests for age estimation

SHEN Wei①, GUO Yilu①, ZHAO Kai②   

  1. ①School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China; ②College of Computer and Control Engineering, Nankai University, Tianjin 300071, China
  • Received:2018-03-20 Online:2018-10-25 Published:2018-12-21

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Abstract:

Artificial intelligence and deep learning are coming into our daily lives. Automatic age estimation from facial images is a hot research topic in the field of artificial intelligence. With the rise of social platforms and social media, this problem has received more and more attentions. This paper summarizes age estimation methods based on traditional artificial intelligence technique and deep learning, and presents a age estimation method based on deep random forest in details.