Low-light image enhancement is a key prerequisite for diverse applications in the field of
image processing and computer vision. Various approaches for this task have been …

As one of the hot topics in the field of computer vision research, face recognition technology
has received significant attention due to its potentiality for a wide range of applications in …

Background subtraction is a basic problem for change detection in videos and also the first
step of high-level computer vision applications. Most background subtraction methods rely …

Illumination processing is a challenging task in face recognition. Although numerous
techniques have been proposed to tackle this problem, none of them can achieve high …

A vast amount of pictures are taken every day by using cameras mounted on various mobile
devices. Even though the clarity of such acquired images has been significantly improved …

The deep learning feature is the best for face recognition nowadays, but its performance
exhibits unsatisfactorily under severe illumination variations. The main reason is that the …

There is a growing consensus in the research community that the optimization of low-light
image enhancement approaches should be guided by the visual quality perceived by end …

The ability of a humanoid robot to display human-like facial expressions is crucial to the
natural human-computer interaction. To fulfill this requirement for an imitative humanoid …

Tackling illumination variation is a major problem and it is also an important challenge for
practical face recognition systems. Some related methods consider that lighting intensity …

Computational complexity is a matter of great concern in real time face recognition systems.
In this paper, four state hidden Markov model for face recognition has been presented …