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: 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 …
Image features detection, description and matching
M Hassaballah, AA Abdelmgeid… - Image Feature Detectors …, 2016 - Springer
Feature detection, description and matching are essential components of various computer
vision applications, thus they have received a considerable attention in the last decades …
vision applications, thus they have received a considerable attention in the last decades …
[KÖNYV][B] Handbook of face recognition
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 …
are several reasons for the growing interest in automated face recognition, including rising …
Intrinsic shape signatures: A shape descriptor for 3D object recognition
Y Zhong - 2009 IEEE 12th international conference on …, 2009 - ieeexplore.ieee.org
This paper presents a new approach for recognition of 3D objects that are represented as
3D point clouds. We introduce a new 3D shape descriptor called Intrinsic Shape Signature …
3D point clouds. We introduce a new 3D shape descriptor called Intrinsic Shape Signature …
Partial face recognition: Alignment-free approach
Numerous methods have been developed for holistic face recognition with impressive
performance. However, few studies have tackled how to recognize an arbitrary patch of a …
performance. However, few studies have tackled how to recognize an arbitrary patch of a …
On the repeatability and quality of keypoints for local feature-based 3d object retrieval from cluttered scenes
Abstract 3D object recognition from local features is robust to occlusions and clutter.
However, local features must be extracted from a small set of feature rich keypoints to avoid …
However, local features must be extracted from a small set of feature rich keypoints to avoid …
Learning from millions of 3D scans for large-scale 3D face recognition
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 …
human-level performance in face recognition. However, open world face recognition still …
A survey of local feature methods for 3D face recognition
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 …
significant effect on the whole system performance. In the past decades, various types of …
Keto: Learning keypoint representations for tool manipulation
We aim to develop an algorithm for robots to manipulate novel objects as tools for
completing different task goals. An efficient and informative representation would facilitate …
completing different task goals. An efficient and informative representation would facilitate …