A comprehensive survey on 3D face recognition methods

M Li, B Huang, G Tian - Engineering Applications of Artificial Intelligence, 2022‏ - Elsevier
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 …

Face recognition: challenges, achievements and future directions

M Hassaballah, S Aly - IET Computer Vision, 2015‏ - Wiley Online Library
Face recognition has received significant attention because of its numerous applications in
access control, law enforcement, security, surveillance, Internet communication and …

3D face recognition under expressions, occlusions, and pose variations

H Drira, BB Amor, A Srivastava… - IEEE Transactions on …, 2013‏ - ieeexplore.ieee.org
We propose a novel geometric framework for analyzing 3D faces, with the specific goals of
comparing, matching, and averaging their shapes. Here we represent facial surfaces by …

3D face recognition: a survey

S Zhou, S **ao - Human-centric Computing and Information Sciences, 2018‏ - Springer
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 …

3D face recognition: Two decades of progress and prospects

Y Guo, H Wang, L Wang, Y Lei, L Liu… - ACM Computing …, 2023‏ - dl.acm.org
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 …

A survey of local feature methods for 3D face recognition

S Soltanpour, B Boufama, QMJ Wu - Pattern Recognition, 2017‏ - Elsevier
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 …

Learning race from face: A survey

S Fu, H He, ZG Hou - IEEE transactions on pattern analysis …, 2014‏ - ieeexplore.ieee.org
Faces convey a wealth of social signals, including race, expression, identity, age and
gender, all of which have attracted increasing attention from multi-disciplinary research …

The florence 2d/3d hybrid face dataset

AD Bagdanov, A Del Bimbo, I Masi - Proceedings of the 2011 joint ACM …, 2011‏ - dl.acm.org
This article describes a new dataset under construction at the Media Integration and
Communication Center and the University of Florence. The dataset consists of high …

Meta-learning-based adversarial training for deep 3D face recognition on point clouds

C Yu, Z Zhang, H Li, J Sun, Z Xu - Pattern Recognition, 2023‏ - Elsevier
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 …

Recent trends, applications, and perspectives in 3d shape similarity assessment

S Biasotti, A Cerri, A Bronstein… - Computer graphics …, 2016‏ - Wiley Online Library
The recent introduction of 3D shape analysis frameworks able to quantify the deformation of
a shape into another in terms of the variation of real functions yields a new interpretation of …