自然杂志 ›› 2018, Vol. 40 ›› Issue (5): 355-362.doi: 10.3969/j.issn.0253-9608.2018.05.005

• 专题综述 • 上一篇    下一篇

浅谈基于深度森林的年龄估计

沈为①，过一路①，赵凯②   

  1. ①上海大学 通信与信息工程学院，上海 200444；②南开大学 计算机与控制工程学院，天津 300071
  • 收稿日期:2018-03-20 出版日期:2018-10-25 发布日期:2018-12-21
  • 通讯作者: 沈为,通信作者，研究方向：计算机视觉和深度学习。E-mail: wei.shen@t.shu.edu.cn

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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摘要：

人工智能和深度学习越来越多地进入到我们的日常生活。自动人脸年龄估计是人工智能领域的一个热门研究问题，并随着社交平台和社交媒体的兴起越来越受到人们的关注。从基于传统人工智能技术和基于深度学习的两个方法对人脸年龄估计进行了介绍，并着重对基于深度森林的年龄估计进行了阐述。

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.

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