Face recognition is one of the most active areas of research in computer vision. Gabor
features have been used widely in face identification because of their good results and …

Single sample face recognition have become an important problem because of the
limitations on the availability of gallery images. In many real-world applications such as …

Most existing pose robust methods are too computational complex to meet practical
applications and their performance under unconstrained environments are rarely evaluated …

An ideal approach to the problem of pose-invariant face recognition would handle
continuous pose variations, would not be database specific, and would achieve high …

One of the key challenges for current face recognition techniques is how to handle pose
variations between the probe and gallery face images. In this paper, we present a method …

Pose variation is a great challenge for robust face recognition. In this paper, we present a
fully automatic pose normalization algorithm that can handle continuous pose variations and …

Gabor magnitude is known to be among the most discriminative representations for face
images due to its space-frequency co-localization property. However, such property causes …

Over the past two decades several attempts have been made to address the problem of face
recognition and a voluminous literature has been produced. Current face recognition …

Face recognition in harsh environments is an active research topic. As one of the most
important challenges, face recognition across pose has received extensive attention. LBP …

One of the major challenges encountered by face recognition lies in the difficulty of handling
arbitrary poses variations. While different approaches have been developed for face …