Driven by key law enforcement and commercial applications, research on face recognition
from video sources has intensified in recent years. The ensuing results have demonstrated …

During the past several years, face recognition in video has received significant attention.
Not only the wide range of commercial and law enforcement applications, but also the …

Automatic face recognition has long been established as one of the most active research
areas in computer vision. Face recognition in unconstrained environments remains …

As one of the most successful applications of image analysis and understanding, face
recognition has recently received significant attention, especially during the past several …

Due to widespread applications, availability of large intra-personal variations in video and
limited information content in still images, video-based face recognition has gained …

Although deep learning approaches have achieved performance surpassing humans for still
image-based face recognition, unconstrained video-based face recognition is still a …

Recognizing faces in unconstrained videos is a task of mounting importance. While
obviously related to face recognition in still images, it has its own unique characteristics and …

Face recognition with still face images has been widely studied, while the research on video-
based face recognition is inadequate relatively, especially in terms of benchmark datasets …

Over the past few years, face recognition has gained many interests. Face recognition has
become a popular area of research in computer vision and pattern recognition. The problem …

Videos have ample amount of information in the form of frames that can be utilized for
feature extraction and matching. However, face images in not all of the frames are …