Biometric systems have the goal of measuring and analyzing the unique physical or behavioral characteristics of an individual. The main feature of biometric systems is the use …
Face recognition is one of the most common biometric authentication methods as its feasibility while convenient use. Recently, the COVID-19 pandemic is dramatically …
We present a new loss function, namely Wing loss, for robust facial landmark localisation with Convolutional Neural Networks (CNNs). We first compare and analyse different loss …
We propose real-time, six degrees of freedom (6DoF), 3D face pose estimation without face detection or landmark localization. We observe that estimating the 6DoF rigid transformation …
X Zhu, X Liu, Z Lei, SZ Li - IEEE transactions on pattern …, 2017 - ieeexplore.ieee.org
Face alignment, which fits a face model to an image and extracts the semantic meanings of facial pixels, has been an important topic in the computer vision community. However, most …
W Deng, R Wu - Ieee Access, 2019 - ieeexplore.ieee.org
The face, an important part of the body, conveys a lot of information. When a driver is in a state of fatigue, the facial expressions, eg, the frequency of blinking and yawning, are …
Face recognition (FR) is one of the most popular and long-standing topics in computer vision. With the recent development of deep learning techniques and large-scale datasets …
Regression based facial landmark detection methods usually learns a series of regression functions to update the landmark positions from an initial estimation. Most of existing …
Currently, data generated by smart devices connected through the Internet is increasing relentlessly. An effective and efficient paradigm is needed to deal with the bulk amount of …