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 …
facial identity over the past several decades. Depending on the types of techniques used in …
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 …
academia. It inherits advantages from traditional 2D face recognition, such as the natural …
3D face recognition under expressions, occlusions, and pose variations
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 …
comparing, matching, and averaging their shapes. Here we represent facial surfaces by …
Towards 3D face recognition in the real: a registration-free approach using fine-grained matching of 3D keypoint descriptors
Registration algorithms performed on point clouds or range images of face scans have been
successfully used for automatic 3D face recognition under expression variations, but have …
successfully used for automatic 3D face recognition under expression variations, but have …
3d face recognition: Two decades of progress and prospects
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 …
decades due to its wide range of applications in many areas, such as security and forensics …
meshSIFT: Local surface features for 3D face recognition under expression variations and partial data
Matching 3D faces for recognition is a challenging task caused by the presence of
expression variations, missing data, and outliers. In this paper the meshSIFT algorithm and …
expression variations, missing data, and outliers. In this paper the meshSIFT algorithm and …
A two-phase weighted collaborative representation for 3D partial face recognition with single sample
Abstract 3D face recognition with the availability of only partial data (missing parts,
occlusions and data corruptions) and single training sample is a highly challenging task …
occlusions and data corruptions) and single training sample is a highly challenging task …
UMB-DB: A database of partially occluded 3D faces
In this paper we present the UMB-DB 3D face database. The database has been built to test
algorithms and systems for 3D face analysis in uncontrolled and challenging scenarios, in …
algorithms and systems for 3D face analysis in uncontrolled and challenging scenarios, in …
Nasal patches and curves for expression-robust 3D face recognition
The potential of the nasal region for expression robust 3D face recognition is thoroughly
investigated by a novel five-step algorithm. First, the nose tip location is coarsely detected …
investigated by a novel five-step algorithm. First, the nose tip location is coarsely detected …
Dense 3D face correspondence
We present an algorithm that automatically establishes dense correspondences between a
large number of 3D faces. Starting from automatically detected sparse correspondences on …
large number of 3D faces. Starting from automatically detected sparse correspondences on …