A survey of face recognition techniques under occlusion
The limited capacity to recognise faces under occlusions is a long‐standing problem that
presents a unique challenge for face recognition systems and even humans. The problem …
presents a unique challenge for face recognition systems and even humans. The problem …
Efficient masked face recognition method during the covid-19 pandemic
W Hariri - Signal, image and video processing, 2022 - Springer
Abstract The coronavirus disease (COVID-19) is an unparalleled crisis leading to a huge
number of casualties and security problems. In order to reduce the spread of coronavirus …
number of casualties and security problems. In order to reduce the spread of coronavirus …
Occlusion robust face recognition based on mask learning with pairwise differential siamese network
Abstract Deep Convolutional Neural Networks (CNNs) have been pushing the frontier of
face recognition over past years. However, existing CNN models are far less accurate when …
face recognition over past years. However, existing CNN models are far less accurate when …
End2end occluded face recognition by masking corrupted features
With the recent advancement of deep convolutional neural networks, significant progress
has been made in general face recognition. However, the state-of-the-art general face …
has been made in general face recognition. However, the state-of-the-art general face …
Joint segmentation and identification feature learning for occlusion face recognition
The existing occlusion face recognition algorithms almost tend to pay more attention to the
visible facial components. However, these models are limited because they heavily rely on …
visible facial components. However, these models are limited because they heavily rely on …
Towards accurate and lightweight masked face recognition: an experimental evaluation
Given the current COVID-19 pandemic, most people wear a mask to effectively prevent the
spread of the contagious disease. This sanitary measure has caused a significant drop in …
spread of the contagious disease. This sanitary measure has caused a significant drop in …
Beyond masks: On the generalization of masked face recognition models to occluded face recognition
Over the years, the evolution of face recognition (FR) algorithms has been steep and
accelerated by a myriad of factors. Motivated by the unexpected elements found in real …
accelerated by a myriad of factors. Motivated by the unexpected elements found in real …
A novel non-linear modifier for adaptive illumination normalization for robust face recognition
In this paper, a novel approach is presented for adaptive illumination normalization for face
recognition under varying illuminations due to change in angle of light projection …
recognition under varying illuminations due to change in angle of light projection …
Unsupervised eyeglasses removal in the wild
Eyeglasses removal is challenging in removing different kinds of eyeglasses, eg, rimless
glasses, full-rim glasses, and sunglasses, and recovering appropriate eyes. Due to the …
glasses, full-rim glasses, and sunglasses, and recovering appropriate eyes. Due to the …
Fuzzy sparse autoencoder framework for single image per person face recognition
The issue of single sample per person (SSPP) face recognition has attracted more and more
attention in recent years. Patch/local-based algorithm is one of the most popular categories …
attention in recent years. Patch/local-based algorithm is one of the most popular categories …