An automatic facial age progression estimation system

• Main Authors: Khalifa, Othman Omran, Omar, Ayub Ahmed, Ahmed, Muhammed Zaharadeen, Saeed, Rashid Abdelhaleem, Hassan Abdalla Hashim, Aisha, Esgiar, Abdelrahim Nasser
• Format: Conference or Workshop Item
• Language: English; English; English
• Published: IEEE 2021
• Subjects: T Technology (General)
• Online Access: http://irep.iium.edu.my/91152/1/An_Automatic_Facial_Age_Proression_Estimation_System.pdf; http://irep.iium.edu.my/91152/7/Abstract-Book-ICOTEN-2021.pdf; http://irep.iium.edu.my/91152/8/Certificat%20%20An%20Automatic%20Facial%20Age%20Progression%20Estimation%20System%20%281%29.pdf; http://irep.iium.edu.my/91152/; https://ieeexplore.ieee.org/document/9493483

Linear age progression models which are largely used in prototype and conventional approaches usually produce synthesized images that are lack of quality because of the aging variations. Therefore, in this paper, a facial age progression model that captures non-linear age variances is designed b...