首页|Multi-label learning of face demographic classification for correlation analysis

Multi-label learning of face demographic classification for correlation analysis

扫码查看
原文链接
  • NETL
  • NSTL
  • 万方数据
  • 维普
In this paper,we utilize the framework of multi-label learning for face demographic classification.We also attempt to explore the suitable classifiers and features for face demographic classification.Three most popular demographic information,gender,ethnicity and age are considered in experiments.Based on the results from demographic classification,we utilize statistic analysis to explore the correlation among various face demographic information.Through the analysis,we draw several conclusions on the correlation and interaction among these high-level face semantic,and the obtained results can be helpful in automatic face semantic annotation and other face analysis tasks.

demographic classificationmulti-label learningface analysis

FANG Yu-chun、CHENG Gong、LUO Jie

展开 >

School of Computer Engineering and Science, Shanghai University, Shanghai 200072, P.R.China

国家自然科学基金Natural Science Foundation of ShanghaiOpen Project Program of the National Laboratory of Pattern Recognition of ChinaShanghai Leading Academic Discipline Project

6060501208ZR140820008-2-16J50103

2011

10.1007/s11741-011-0750-3

上海大学学报(英文版)
上海大学

上海大学学报(英文版)

影响因子：0.196
ISSN：1007-6417
年,卷(期)：2011.15(5)
  • 11