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 …

Abstract 3D face recognition has become a trending research direction in both industry and
academia. It inherits advantages from traditional 2D face recognition, such as the natural …

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

Managing talent and growth in sizeable global information technology (IT) multinational
enterprises (MNE) facing technological disruption requires a well-developed innovation …

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 …

In the past ten years, research on face recognition has shifted to using 3D facial surfaces, as
3D geometric information provides more discriminative features. This comprehensive survey …

We propose a novel 3D face recognition algorithm using a deep convolutional neural
network (DCNN) and a 3D face expression augmentation technique. The performance of 2D …

Automatic machine-based Facial Expression Analysis (FEA) has made substantial progress
in the past few decades driven by its importance for applications in psychology, security …

Face recognition is one of the popular areas of research in the field of computer vision. It is
mainly used for identification and security system. One of the major challenges in face …

Due to the availability of cheap 3D sensors such as Kinect and LiDAR, the use of 3D data in
various domains such as manufacturing, healthcare, and retail to achieve operational safety …