A review of face recognition technology
L Li, X Mu, S Li, H Peng - IEEE access, 2020 - ieeexplore.ieee.org
Face recognition technology is a biometric technology, which is based on the identification
of facial features of a person. People collect the face images, and the recognition equipment …
of facial features of a person. People collect the face images, and the recognition equipment …
Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges
Human activity recognition systems are developed as part of a framework to enable
continuous monitoring of human behaviours in the area of ambient assisted living, sports …
continuous monitoring of human behaviours in the area of ambient assisted living, sports …
Deep high-resolution representation learning for visual recognition
High-resolution representations are essential for position-sensitive vision problems, such as
human pose estimation, semantic segmentation, and object detection. Existing state-of-the …
human pose estimation, semantic segmentation, and object detection. Existing state-of-the …
High-resolution representations for labeling pixels and regions
High-resolution representation learning plays an essential role in many vision problems, eg,
pose estimation and semantic segmentation. The high-resolution network (HRNet)~\cite …
pose estimation and semantic segmentation. The high-resolution network (HRNet)~\cite …
Look at boundary: A boundary-aware face alignment algorithm
We present a novel boundary-aware face alignment algorithm by utilising boundary lines as
the geometric structure of a human face to help facial landmark localisation. Unlike the …
the geometric structure of a human face to help facial landmark localisation. Unlike the …
Fsrnet: End-to-end learning face super-resolution with facial priors
Abstract Face Super-Resolution (SR) is a domain-specific superresolution problem. The
facial prior knowledge can be leveraged to better super-resolve face images. We present a …
facial prior knowledge can be leveraged to better super-resolve face images. We present a …
Joint face detection and alignment using multitask cascaded convolutional networks
Face detection and alignment in unconstrained environment are challenging due to various
poses, illuminations, and occlusions. Recent studies show that deep learning approaches …
poses, illuminations, and occlusions. Recent studies show that deep learning approaches …
Face recognition: Past, present and future (a review)
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 …
behavioral characteristics of an individual. The main feature of biometric systems is the use …
Openface: an open source facial behavior analysis toolkit
Over the past few years, there has been an increased interest in automatic facial behavior
analysis and understanding. We present OpenFace-an open source tool intended for …
analysis and understanding. We present OpenFace-an open source tool intended for …
Facial landmark detection: A literature survey
The locations of the fiducial facial landmark points around facial components and facial
contour capture the rigid and non-rigid facial deformations due to head movements and …
contour capture the rigid and non-rigid facial deformations due to head movements and …