A Hierarchical Framework for Facial Age Estimation
Joint Authors
Liang, Yuyu
Zhang, Li
Wang, Zhiliang
Wang, Xianmei
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-06
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Age estimation is a complex issue of multiclassification or regression.
To address the problems of uneven distribution of age database and ignorance of ordinal information, this paper shows a hierarchic age estimation system, comprising age group and specific age estimation.
In our system, two novel classifiers, sequence k-nearest neighbor (SKNN) and ranking-KNN, are introduced to predict age group and value, respectively.
Notably, ranking-KNN utilizes the ordinal information between samples in estimation process rather than regards samples as separate individuals.
Tested on FG-NET database, our system achieves 4.97 evaluated by MAE (mean absolute error) for age estimation.
American Psychological Association (APA)
Liang, Yuyu& Wang, Xianmei& Zhang, Li& Wang, Zhiliang. 2014. A Hierarchical Framework for Facial Age Estimation. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-456745
Modern Language Association (MLA)
Liang, Yuyu…[et al.]. A Hierarchical Framework for Facial Age Estimation. Mathematical Problems in Engineering No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-456745
American Medical Association (AMA)
Liang, Yuyu& Wang, Xianmei& Zhang, Li& Wang, Zhiliang. A Hierarchical Framework for Facial Age Estimation. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-456745
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-456745
