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首页 > 过刊浏览>2019年第30卷第7期 >2188-2207. DOI:10.13328/j.cnki.jos.005837
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人类面部属性估计研究:综述
作者:
作者简介:

曹猛(1994-),男,江苏扬州人,学士,主要研究领域为机器学习,模式识别;马廷淮(1974-),男,博士,教授,博士生导师,CCF专业会员,主要研究领域为数据挖掘,数据共享与存储,社会网络,隐私保护;田青(1983-),男,博士,副教授,主要研究领域为机器学习,模式识别,机器视觉;陈松灿(1962-),男,博士,教授,博士生导师,CCF高级会员,主要研究领域为机器学习,模式识别.

通讯作者:

田青,E-mail:tianqing@nuist.edu.cn

中图分类号:

TP391

基金项目:

国家自然科学基金（61702273，61472186，61672281）；江苏省自然科学基金（BK20170956）；江苏省高校自然科学研究面上项目（17KJB520022）


Human Facial Attributes Estimation: A Survey
Author:
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)

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    摘要:

    近年来，人脸属性估计因其广泛的应用而得到了大量的关注和研究，并且很多估计方法被提了出来.主要对现有相关工作进行归纳总结，为研究者提供相关参考.首先，根据是否考虑人脸性别、年龄、人种等不同属性间的内在关联，将现有的人脸面部属性研究方法划分成朴素的研究方法和自然的研究方法这两大类进行总结介绍.然后，从单一人脸数据库标记不完备、现有方法未能完备利用多属性联合估计、现有方法未能很好地利用各面部属性间关系这3个方面阐述当前方法的不足.最后，给出关于人脸面部属性估计进一步的研究方向.

    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.

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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

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  • 收稿日期:2018-08-08
  • 最后修改日期:2018-12-27
  • 在线发布日期: 2019-04-11
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