Results 11 to 20 of about 3,738,663 (274)

Self-restrained triplet loss for accurate masked face recognition. [PDF]

Pattern Recognit, 2022
Using the face as a biometric identity trait is motivated by the contactless nature of the capture process and the high accuracy of the recognition algorithms.
Boutros F, Damer N, Kirchbuchner F, Kuijper A.   +3 more
europepmc   +3 more sources

Masked Face Dataset Generation and Masked Face Recognition

CoRR, 2023
In the post-pandemic era, wearing face masks has posed great challenge to the ordinary face recognition. In the previous study, researchers has applied pretrained VGG16, and ResNet50 to extract features on the elaborate curated existing masked face ...
Cai, Rui, Ning, Xuying, Belhumeur, Peter N.   +2 more
core   +3 more sources

KInsight: a Robust Framework for Masked Face Recognition

Brazilian Archives of Biology and Technology
The pandemic and other environmental conditions have increased the use of masks as a precautionary measure. It is an effective way to protect ourselves from viruses/pollution/ and other health-affecting environmental factors.
Shivani Sharma, Rashmi Chaudhry, Dhruv Tewari, Saurabh Soreng, Sachin Kumar   +4 more
doaj   +2 more sources

A Comprehensive Survey of Masked Faces: Recognition, Detection, and Unmasking

Applied Sciences
Masked face recognition (MFR) has emerged as a critical domain in biometric identification, especially with the global COVID-19 pandemic, which introduced widespread face masks.
Mohamed Mahmoud, Mahmoud SalahEldin Kasem, Hyun-Soo Kang   +2 more
doaj   +3 more sources

HOGE: integrating feature descriptor and transfer learning for masked face recognition

Discover Artificial Intelligence
Masked face recognition presents unique challenges especially due to occlusion caused by face masks. This paper introduces a novel approach called HOGE which integrates the visualisation of HOG images as input for a modified EfficientNetV2-S model to ...
Ming Chun Yo, Siew Chin Chong, Lee Ying Chong   +2 more
doaj   +2 more sources

Masked and elusive: congruency fails in video-to-photo face matching [PDF]

Cognitive Research
Recognizing masked perpetrators in real-world surveillance scenarios poses significant challenges due to facial occlusion and degraded image quality. This study investigated the effects of contextual congruency on matching surveillance videos to suspects’
Anna Sagana, Mengying Zhang, Lara Bekemeier, Evie Nelissen, Melanie Sauerland   +4 more
doaj   +2 more sources

Masked face recognition with convolutional visual self-attention network. [PDF]

Neurocomputing (Amst), 2023
Ge Y, Liu H, Du J, Li Z, Wei Y.
europepmc   +2 more sources

Cropping and attention based approach for masked face recognition. [PDF]

Appl Intell (Dordr), 2021
Li Y, Guo K, Lu Y, Liu L.
europepmc   +2 more sources

Dual-Proxy Modeling for Masked Face Recognition. [PDF]

Procedia Comput Sci, 2022
With the recent worldwide COVID-19 pandemic, almost everyone wears a mask daily, leading to severe degradation in the accuracy of conventional face recognition systems. Several works improve the performance of masked faces by adopting synthetic masked face images for training. However, such methods often cause performance degradation on unmasked faces,
Shuhui W, Xiaochen M.
europepmc   +3 more sources

Masked Face Recognition

International Journal of Advanced Research in Science, Communication and Technology, 2021
The World is facing a huge health crisis due to the rapid transmission of coronavirus (COVID-19). In order to effectively prevent the spread of COVID-19 virus, almost everyone have to wear a mask as its one of the most important element to prevent from this virus as per World Health Organization (WHO).
Prof. Itrat Fatema, Alfiya Khan, Arti Gedekar, Ayesha Khawaja, Minakshi Barghat, Nilofer Khan   +5 more
openaire   +1 more source