A Comprehensive Study on Occlusion Invariant Face Recognition under Face Mask Occlusions

Abstract

The face mask is an essential sanitaryware in daily lives growing during the pandemic period and is a big threat to current face recognition systems. The masks destroy a lot of details in a large area of face, and it makes it difficult to recognize them even for humans. The evaluation report shows the difficulty well when recognizing masked faces. Rapid development and breakthrough of deep learning in the recent past have witnessed most promising results from face recognition algorithms. But they fail to perform far from satisfactory levels in the unconstrained environment during the challenges such as varying lighting conditions, low resolution, facial expressions, pose variation and occlusions. Facial occlusions are considered one of the most intractable problems. Especially when the occlusion occupies a large region of the face because it destroys lots of official features.

Innovative Hybrid Approach for Masked Face Recognition Using Pretrained Mask Detection and Segmentation, Robust PCA, and KNN Classifier

“…Previous approaches can be divided into two categories: traditional machine learning approaches and deep learning approaches. In recent years after the pandemic, many researchers devoted their efforts to finding a solution to the problem of mask confusion and its impact on the face recognition task [ 4 , 5 ]. In this study [ 6 ], Neto et al aim to evaluate the different approaches followed for both Masked Face Recognition (MFR) and Occluded Face Recognition (OFR), find linked details about the two conceptually similar research directions, and understand future directions for both topics.…”

Attention-Mechanism-Based Models for Unconstrained Face Recognition with Mask Occlusion

“…Mask occlusion in unconstrained environments is still a big challenge for face recognition. How to alleviate or eliminate the negative impact of occlusion is one of the important problems in the field of unconstrained face recognition [4]. From the theoretical perspective, studying the problem of unconstrained face recognition with mask occlusion not only helps solve the general occlusion problem encountered in face recognition but also gives certain inspiration for the fields of image synthesis and image restoration.…”