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A Comprehensive Survey of Masked Faces: Recognition, Detection, and Unmasking
May 10, 2024, 4:45 a.m. | Mohamed Mahmoud, Mahmoud SalahEldin Kasem, Hyun-Soo Kang
cs.CV updates on arXiv.org arxiv.org
Abstract: Masked face recognition (MFR) has emerged as a critical domain in biometric identification, especially by the global COVID-19 pandemic, which introduced widespread face masks. This survey paper presents a comprehensive analysis of the challenges and advancements in recognising and detecting individuals with masked faces, which has seen innovative shifts due to the necessity of adapting to new societal norms. Advanced through deep learning techniques, MFR, along with Face Mask Recognition (FMR) and Face Unmasking (FU), …
abstract analysis arxiv biometric biometric identification challenges covid covid-19 covid-19 pandemic cs.cv detection domain face face recognition global identification masks pandemic paper recognition survey type
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