Facial aging adversely impacts performance of face recognition and face verification and
authentication using facial features. This stochastic personalized inevitable process poses …

We present a novel multistage learning system, called grou** estimation fusion (GEF), for
human age estimation via facial images. The GEF consists of three stages:(1) age …

A no-reference (NR) learning-based approach to assess image quality is presented in this
paper. The devised features are extracted from wide perceptual domains, including …

Soft biometrics has emerged out to be a new area of interest for the researchers due to its
growing real-world applications. It includes the estimation of demographic traits like age …

Develo** an automatic age estimation method toward human faces continues to possess
an important role in computer vision and pattern recognition. Many studies regarding facial …

An ensemble method for full-reference image quality assessment (IQA) based on the
parallel boosting (ParaBoost) idea is proposed in this paper. We first extract features from …

In recent years, facial expression recognition has always been a popular research topic.
Since the variation among human facial expressions is huge, facial expression recognition …

In this paper, a deep Convolutional Neural Network CNN based system, called Depthwise
Separable Convolutional Neural Network (DSCNN) fusion system, for human facial age …

As a common consensus that the appearances of different persons with the same age
diverge widely, we have an opinion that the estimated result of a facial image should be a …

Facial expression recognition in the wild is a quite challenge task because facial images
captured in natural settings are often affected by various factors such as irregular occlusions …