Face aging effect simulation using hidden factor analysis joint sparse representation

H Yang, D Huang, Y Wang, H Wang… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Face aging simulation has received rising investigations nowadays, whereas it still remains
a challenge to generate convincing and natural age-progressed face images. In this paper …

[HTML][HTML] Face recognition across time lapse using convolutional neural networks

H El Khiyari, H Wechsler - Journal of Information Security, 2016 - scirp.org
Time lapse, characteristic of aging, is a complex process that affects the reliability and
security of biometric face recognition systems. This paper reports the novel use and …

[PDF][PDF] Age Invariant Face Recognition using Convolutional Neural Network.

M Nimbarte, K Bhoyar - … Journal of Electrical & Computer Engineering …, 2018 - academia.edu
In the recent years, face recognition across aging has become very popular and challenging
task in the area of face recognition. Many researchers have contributed in this area, but still …

Boosting cross-age face verification via generative age normalization

G Antipov, M Baccouche… - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
Despite the tremendous progress in face verification performance as a result of Deep
Learning, the sensitivity to human age variations remains an Achilles' heel of the majority of …

Age-invariant face recognition using gender specific 3D aging modeling

S Riaz, Z Ali, U Park, J Choi, I Masi… - Multimedia Tools and …, 2019 - Springer
The age-invariant face recognition (AIFR) is a relatively new area of research in the face
recognition domain which has recently gained substantial attention due to its great potential …

Biased face patching approach for age invariant face recognition using convolutional neural network

M Nimbarte, KK Bhoyar - International Journal of Intelligent …, 2020 - inderscienceonline.com
In recent years, a lot of interest is observed among researchers; in the domain of age
invariant face recognition. The growing research interest is due to its commercial …

MAM: Multiple Attention Mechanism Neural Networks for Cross‐Age Face Recognition

X Ren, J Wang, S Li - Wireless Communications and Mobile …, 2022 - Wiley Online Library
Cross‐age face recognition problem is of great challenge in practical applications because
face features of the same person at different ages contain variant aging features in addition …

Age progression by gender-specific 3D aging model

S Riaz, U Park, J Choi, P Natarajan - Machine Vision and Applications, 2019 - Springer
Facial aging is an important problem of face recognition in missing children and automatic
template update. As aging is a temporal process, it alters the facial appearance of the …

[PDF][PDF] Age invariant face recognition based on dct feature extraction and kernel fisher analysis

L Boussaad, M Benmohammed… - Journal of Information …, 2016 - koreascience.kr
The aim of this paper is to examine the effectiveness of combining three popular tools used
in pattern recognition, which are the Active Appearance Model (AAM), the two-dimensional …

Face recognition based on local Gabor binary patterns and convolutional neural network

X Ren, H Guo, C Di, Z Han, S Li - … , and Systems: Proceedings of the 2016 …, 2018 - Springer
Enhancing the robustness to changes caused by facial aging in automatic face recognition
system is still an important problem worth researching. Compared with the external factors …