Face age synthesis: A review on datasets, methods, and open research areas

Küçük Resim Yok

Tarih

2023

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Elsevier Sci Ltd

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

Face age synthesis is the determination of how a person looks in the future or the past by reconstructing their facial image. Determining the change in the human face over the years is a critical process for cross-age face recognition systems in forensic issues such as finding missing people and fugitive criminals. Therefore, it is a subject that has attracted attention in recent years. With the implementation of deep learning methods, better quality and photo-realistic images began to be produced. However, researchers continue to improve both aging accuracy and identity preservation requirements. We group the studies in the literature under two categories: classical methods and deep learning methods. We review both categories in the methods used, evaluation methods, and databases.& COPY; 2023 Elsevier Ltd. All rights reserved.

Açıklama

Anahtar Kelimeler

Age progression, Age regression, Face aging, GANs

Kaynak

Pattern Recognition

WoS Q Değeri

N/A

Scopus Q Değeri

Q1

Cilt

143

Sayı

Künye