Facial expression recognition has become a hot issue in the field of artificial intelligence. So,
we collect literature on facial expression recognition. First, methods based on machine …

Facial Expression Recognition (FER), as the primary processing method for non-verbal
intentions, is an important and promising field of computer vision and artificial intelligence …

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 …

As a primary modality in biometrics, human face recognition has been employed widely in
the computer vision domain because of its performance in a wide range of applications such …

2D face analysis techniques, such as face landmarking, face recognition and face
verification, are reasonably dependent on illumination conditions which are usually …

The appearance of a face image is severely affected by illumination conditions that will
hinder the automatic face recognition process. To recognize faces under varying lighting …

A face image can be represented by a combination of large-and small-scale features. It is
well-known that the variations of illumination mainly affect the large-scale features (low …

This paper is concerned with statically analyzing the susceptibility of arbitrary combinational
circuits to single event upsets that are becoming a significant concern for reliability of …

Illumination compensation and normalization play a crucial role in face recognition. The
existing algorithms either compensated low-frequency illumination, or captured high …

Early detection and counting of immature green citrus fruit using computer vision can help
growers produce a predictive yield map which could be used to adjust management …