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 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 …

One of the main modules in a face recognition system is feature extraction, which has a
significant effect on the whole system performance. In the past decades, various types of …

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 …

Recently, deep face recognition using 2D face images has made great advances mainly due
to the readily available large-scale face data. However, deep face recognition using 3D face …

Three-dimensional (3D) face recognition has been extensively investigated in the last two
decades due to its wide range of applications in many areas, such as security and forensics …

We present a fully automatic multimodal 2D+ 3D feature-based facial expression recognition
approach and demonstrate its performance on the BU–3DFE database. Our approach …

In order to improve the accuracy and speed of three-dimensional face recognition, this paper
proposes a three-dimensional face recognition method combining LBP and SVM. First, the …