Human age, as an important personal trait, can be directly inferred by distinct patterns
emerging from the facial appearance. Derived from rapid advances in computer graphics …

Abstract 3D face recognition has become a trending research direction in both industry and
academia. It inherits advantages from traditional 2D face recognition, such as the natural …

Binary feature descriptors such as local binary patterns (LBP) and its variations have been
widely used in many face recognition systems due to their excellent robustness and strong …

Facial expression is central to human experience. Its efficient and valid measurement is a
challenge that automated facial image analysis seeks to address. Most publically available …

Three-dimensional (3D) face recognition has been extensively investigated in the last two
decades due to its wide range of applications in many areas, such as security and forensics …

One of the main modules in a face recognition system is feature extraction, which has a
significant effect on the whole system performance. In the past decades, various types of …

The growing popularity of wearable devices is leading to new ways to interact with the
environment, with other smart devices, and with other people. Wearables equipped with an …

The illumination variation problem is one of the well-known problems in face recognition in
uncontrolled environment. In this paper an extensive and up-to-date survey of the existing …

Compressed ultrafast photography (CUP) is a burgeoning single-shot computational
imaging technique that provides an imaging speed as high as 10 trillion frames per second …

In this paper, we propose a cost-sensitive local binary feature learning (CS-LBFL) method
for facial age estimation. Unlike the conventional facial age estimation methods that employ …