Face-based age estimation strongly depends on deep residual networks (ResNets), used as the backbone in relevant research. However, ResNet-based methods ignore importance of some large-scale facial information and other attributes. Inspired by attention mechanism, a multi-task learning framework for face-based called multi-scale is proposed. First, authors embed alternative strategy structure d...

To estimate multiple face attributes, independent classifier for each attribute are trained such as facial point detection, gender recognition, and age estimation in the conventional approach. It is inefficient because the computational cost of training and testing increases with the number of tasks. To address this problem, heterogeneous learning is able to train a single classifier to perform...

The main challenges of age estimation from facial expression videos lie not only in the modeling of the static facial appearance, but also in the capturing of the temporal facial dynamics. Traditional techniques to this problem focus on constructing handcrafted features to explore the discriminative information contained in facial appearance and dynamics separately. This relies on sophisticated...

Age is one of the essential factors in establishing the identity of the person. Estimation of the human age is a procedure adopted by anthropologists, archaeologists and forensic scientists. Compared with other cognition problems, age estimation from face images is still very challenging. Predicting and estimating the age from facial images with makeup is an interesting task in digital entertai...

The FG-NET aging database was released in 2004 in an attempt to support research activities related to facial aging. Since then a number of researchers used the database for carrying out research in various disciplines related to facial aging. Based on the analysis of published work where the FG-NET aging database was used, conclusions related to the type of research carried out in relation to ...

Recognition of facial variations has been a hot research area for the past decade. Age, gender and expression are three important facial variations attaining increasing attentions. This report presents a software system for automatic estimation of age, gender and expression. To make the system robust to any input image containing a face, a pre-processing stage is implemented to calibrate the fa...

Computational facial models that capture properties of facial cues related to aging and kinship increasingly attract the attention of the research community, enabling the development of reliable methods for age progression, age estimation, age-invariant facial characterization, and kinship verification from visual data. In this paper, we review recent advances in modelling of facial aging and k...