浅谈基于深度森林的年龄估计  

Brief probe into deep regression forests for age estimation

作　　者：沈为[1] 过一路 赵凯 SHEN Wei;GUO Yilu;ZHAO Kai(School of Communication and Information Engineering,Shanghai University,Shanghai 200444,China;College of Computer and Control Engineering,Nankai University,Tianjin 300071,China)

机构地区：[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

出　　处：《自然杂志》2018年第5期355-362,共8页Chinese Journal of Nature

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。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.

关 键 词：年龄估计 深度学习 深度回归森林 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TP18[自动化与计算机技术—计算机科学与技术]