Face recognition is one of the most active research fields of computer vision and pattern
recognition, with many practical and commercial applications including identification, access …

Deep learning applies multiple processing layers to learn representations of data with
multiple levels of feature extraction. This emerging technique has reshaped the research …

Deep learning, in particular the deep convolutional neural networks, has received
increasing interests in face recognition recently, and a number of deep learning methods …

In the last decade, advances and popularity of low-cost RGB-D sensors have enabled us to
acquire depth information of objects. Consequently, researchers began to solve face …

Human face recognition have been an active research area for the last few decades.
Especially, during the last five years, it has gained significant research attention from …

While the Internet of Things (IoT) devices, such as smartwatches, provide a range of services
from managing financial transactions to monitoring smart homes, these devices often lead to …

Face recognition is one of the most important abilities that we use in our daily lives. There
are several reasons for the growing interest in automated face recognition, including rising …

Facial expressions are mirrors of human thoughts and feelings. It provides a wealth of social
cues to the viewer, including the focus of attention, intention, motivation, and emotion. It is …

Abstract 3D face recognition (3DFR) has emerged as an effective means of characterizing
facial identity over the past several decades. Depending on the types of techniques used in …

Deep networks trained on millions of facial images are believed to be closely approaching
human-level performance in face recognition. However, open world face recognition still …