Human Facial Attributes Estimation: A Survey
Author:
Affiliation:

Clc Number:

TP391

Fund Project:

National Natural Science Foundation of China (61702273, 61472186, 61672281); National Natural Science Foundation of Jiangsu Province, China (BK20170956); Natural Science Foundation of the Jiangsu Higher Education Institutions of China (17KJB520022)

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    Over the past decades, human facial attributes (e.g. gender, age, and race) estimation has received large amount of attention and research due to its potential applications, and variety of methods have been proposed to address it. This article is devoted to review related works comprehensively and give references for researchers. Firstly, in accordance with whether exploiting the potential correlations between these facial attributes, the existing approaches are classified into naïve and natural groups and they are reviewed within each group. Then, in terms of incompleteness of annotated labels, considered attributes, and correlations utilization, the drawbacks of existing methods are analyzed. Finally, future research directions are provided at the end of this work.

    Reference
    Related
    Cited by
Get Citation

曹猛,田青,马廷淮,陈松灿.人类面部属性估计研究:综述.软件学报,2019,30(7):2188-2207

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:August 08,2018
  • Revised:December 27,2018
  • Adopted:
  • Online: April 11,2019
  • Published:
You are the firstVisitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-4
Address:4# South Fourth Street, Zhong Guan Cun, Beijing 100190,Postal Code:100190
Phone:010-62562563 Fax:010-62562533 Email:jos@iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063