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Chronological Age Estimation under the Guidance of Age-related Facial Attributes
Jiu-Cheng Xie; Chi-Man Pun
2019-03-07
Source PublicationIEEE Transactions on Information Forensics and Security
ISSN1556-6021
Pages1-12
Abstract

Although researches of facial attributes analysis have been launched for decades, estimation of chronological age attribute remains a big challenge. Previous researchers have found that some facial attributes (e.g., gender and race attributes) have close connections with the age attribute and make age estimation under specific condition decided by various combinations of those age-related attributes should be more reasonable. In this paper, we propose a generic framework based on convolutional neural network (CNN) which can consider different conditions for age estimation and jointly output age and age-related facial attributes in the end. Compared with conventional methods, it is more efficient and universal. Besides, we view age estimation as a special multi-class ordinal classification problem and use a losses combination function to optimize the predicted probability distribution of individual age classes. These operations further improve the performance of age estimation. Finally, the proposed method achieves start-of-the-art results on both controlled and wild face datasets.

KeywordChronological Age Estimation Facial Attributes Estimation Convolutional Neural Network Controlled And Wild Environments
DOI10.1109/TIFS.2019.2902823
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Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Recommended Citation
GB/T 7714
Jiu-Cheng Xie,Chi-Man Pun. Chronological Age Estimation under the Guidance of Age-related Facial Attributes[J]. IEEE Transactions on Information Forensics and Security,2019:1-12.
APA Jiu-Cheng Xie,&Chi-Man Pun.(2019).Chronological Age Estimation under the Guidance of Age-related Facial Attributes.IEEE Transactions on Information Forensics and Security,1-12.
MLA Jiu-Cheng Xie,et al."Chronological Age Estimation under the Guidance of Age-related Facial Attributes".IEEE Transactions on Information Forensics and Security (2019):1-12.
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