Results 21 to 30 of about 6,456,473 (363)
Improving Transferability of Adversarial Patches on Face Recognition with Generative Models [PDF]
Computer Vision and Pattern Recognition, 2021 Face recognition is greatly improved by deep convolutional neural networks (CNNs). Recently, these face recognition models have been used for identity authentication in security sensitive applications.
Zihao Xiao +7 more
semanticscholar +1 more source
Dual-View Normalization for Face Recognition
IEEE Access, 2020 Face normalization refers to a family of approaches that rotate a non-frontal face to the frontal pose for better handling of face recognition. While a great majority of face normalization methods focus on frontal pose only, we proposed a framework for ...
Gee-Sern Hsu, Chia-Hao Tang
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Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2020 The problem of face recognition is discussed. The main methods of recognition are considered. The calibrated stereo pair for the face and calculating the depth map by the correlation algorithm are used.
Olexandr N. Romanyuk +5 more
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Beyond Frontal Face Recognition
IEEE Access, 2023 Face recognition is one of the most researched subjects in computer vision. The attention it receives is due to the complexity of the problem. Face recognition models have to deal with a wide variety of intraclass variations such as pose variations ...
Michael Joseph, Khaled Elleithy
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ArcFace: Additive Angular Margin Loss for Deep Face Recognition
Computer Vision and Pattern Recognition, 2018 One of the main challenges in feature learning using Deep Convolutional Neural Networks (DCNNs) for large-scale face recognition is the design of appropriate loss functions that can enhance the discriminative power.
Jiankang Deng, J. Guo, S. Zafeiriou
semanticscholar +1 more source
Masked Face Recognition Dataset and Application
IEEE Transactions on Biometrics Behavior and Identity Science, 2023 During COVID-19 coronavirus epidemic, almost everyone wears a mask to prevent the spread of virus. It raises a problem that the traditional face recognition model basically fails in the scene of face-based identity verification, such as security check ...
Zhongyuan Wang +4 more
semanticscholar +1 more source
Reference face graph for face recognition [PDF]
, 2014 Face recognition has been studied extensively; however, real-world face recognition still remains a challenging task. The demand for unconstrained practical face recognition is rising with the explosion of online multimedia such as social networks, and ...
An, L, Bhanu, B, Kafai, M
core +3 more sources
Bio-Inspired Stereo Vision Calibration for Dynamic Vision Sensors
IEEE Access, 2019 Many advances have been made in the field of computer vision. Several recent research trends have focused on mimicking human vision by using a stereo vision system.
Manuel J. Dominguez-Morales +5 more
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Chinese Face Dataset for Face Recognition in an Uncontrolled Classroom Environment
IEEE Access, 2023 Since the position of the classroom surveillance camera is not fixed, the angle of the face captured through the surveillance video is also different. The deep learning-based face verification model has achieved good results in controlled environments ...
Nianfeng Li +6 more
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Face recognition technologies for evidential evaluation of video traces [PDF]
, 2017 Human recognition from video traces is an important task in forensic investigations and evidence evaluations. Compared with other biometric traits, face is one of the most popularly used modalities for human recognition due to the fact that its ...
Li, Chang-Tsun, Wei, Xingjie
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