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[HTML][HTML] Innovative hybrid approach for masked face recognition using pretrained mask detection and segmentation, robust PCA, and KNN classifier
Face masks are widely used in various industries and jobs, such as healthcare, food service,
construction, manufacturing, retail, hospitality, transportation, education, and public safety …
construction, manufacturing, retail, hospitality, transportation, education, and public safety …
A survey on computer vision based human analysis in the COVID-19 era
The emergence of COVID-19 has had a global and profound impact, not only on society as a
whole, but also on the lives of individuals. Various prevention measures were introduced …
whole, but also on the lives of individuals. Various prevention measures were introduced …
A face recognition taxonomy and review framework towards dimensionality, modality and feature quality
I Pattnaik, A Dev, AK Mohapatra - Engineering Applications of Artificial …, 2023 - Elsevier
This paper presents a comprehensive review of Automatic Facial Recognition Systems
using integrative and systematic map** approach. The review is grounded on criteria …
using integrative and systematic map** approach. The review is grounded on criteria …
Efficient explainable face verification based on similarity score argument backpropagation
Abstract Explainable Face Recognition is gaining growing attention as the use of the
technology is gaining ground in security-critical applications. Understanding why two face …
technology is gaining ground in security-critical applications. Understanding why two face …
Fast search of face recognition model for a mobile device based on neural architecture comparator
This paper addresses the face recognition task for offline mobile applications. Using AutoML
techniques, a novel technological framework is proposed to develop a fast neural network …
techniques, a novel technological framework is proposed to develop a fast neural network …
Improving Accuracy of Face Recognition in the Era of Mask-Wearing: An Evaluation of a Pareto-Optimized FaceNet Model with Data Preprocessing Techniques
D Akingbesote, Y Zhan, R Maskeliūnas… - Algorithms, 2023 - mdpi.com
The paper presents an evaluation of a Pareto-optimized FaceNet model with data
preprocessing techniques to improve the accuracy of face recognition in the era of mask …
preprocessing techniques to improve the accuracy of face recognition in the era of mask …
OCFR 2022: Competition on occluded face recognition from synthetically generated structure-aware occlusions
This work summarizes the IJCB Occluded Face Recognition Competition 2022 (IJCB-OCFR-
2022) embraced by the 2022 International Joint Conference on Biometrics (IJCB 2022) …
2022) embraced by the 2022 International Joint Conference on Biometrics (IJCB 2022) …
Adaptive face recognition for multi-type occlusions
Due to the prevalence of influenza outbreaks and outdoor scenarios with various obstructing
decorations, recognizing faces with occlusions has become a pressing challenge to …
decorations, recognizing faces with occlusions has become a pressing challenge to …
Unveiling the two-faced truth: Disentangling morphed identities for face morphing detection
Morphing attacks keep threatening biometric systems, especially face recognition systems.
Over time they have become simpler to perform and more realistic, as such, the usage of …
Over time they have become simpler to perform and more realistic, as such, the usage of …
Occluded thermal face recognition using BoCNN and radial derivative Gaussian feature descriptor
In this work, we propose a Radial derivative Gaussian feature (RDGF) descriptor, a novel
handcrafted feature descriptor for disguised thermal face recognition. The feature encoding …
handcrafted feature descriptor for disguised thermal face recognition. The feature encoding …