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Procedings of the British Machine Vision Conference 2015, 2015 The goal of this paper is face recognition – from either a single photograph or from a set of faces tracked in a video. Recent progress in this area has been due to two factors: (i) end to end learning for the task using a convolutional neural network (CNN), and (ii) the availability of very large scale training datasets.
Omkar M. Parkhi +2 more
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Understanding face recognition.
British Journal of Psychology, 1986 The aim of this paper is to develop a theoretical model and a set of terms for understanding and discussing how we recognize familiar faces, and the relationship between recognition and other aspects of face processing. It is suggested that there are seven distinct types of information that we derive from seen faces; these are labelled pictorial ...
V. Bruce, A. Young
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Face Recognition Systems: A Survey
Sensors, 2020 Over the past few decades, interest in theories and algorithms for face recognition has been growing rapidly. Video surveillance, criminal identification, building access control, and unmanned and autonomous vehicles are just a few examples of concrete ...
Yassin Kortli +3 more
doaj +2 more sources
AdaFace: Quality Adaptive Margin for Face Recognition [PDF]
Computer Vision and Pattern Recognition, 2022 Recognition in low quality face datasets is challenging because facial attributes are obscured and degraded. Advances in margin-based loss functions have resulted in enhanced discriminability of faces in the embedding space.
Minchul Kim, Anil K. Jain, Xiaoming Liu
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MagFace: A Universal Representation for Face Recognition and Quality Assessment [PDF]
Computer Vision and Pattern Recognition, 2021 The performance of face recognition system degrades when the variability of the acquired faces increases. Prior work alleviates this issue by either monitoring the face quality in pre-processing or predicting the data uncertainty along with the face ...
Qiang Meng +3 more
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Creating Realistic Presentation Attacks for Facial Impersonation Step-by-Step
IEEE Access, 2023 Presentation attacks are one of the many dangers facing law enforcement today. In addition, material science is constantly advancing and criminals, aware of this fact, are taking advantage of new composites to manufacture new artifacts that allow them to
Roberto Gallardo-Cava +4 more
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WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition [PDF]
Computer Vision and Pattern Recognition, 2021 In this paper, we contribute a new million-scale face benchmark containing noisy 4M identities/260M faces (WebFace260M) and cleaned 2M identities/42M faces (WebFace42M) training data, as well as an elaborately designed time-constrained evaluation ...
Zheng Zhu +10 more
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The effect of face masks and sunglasses on identity and expression recognition with super-recognizers and typical observers [PDF]
Royal Society Open Science, 2021 Face masks present a new challenge to face identification (here matching) and emotion recognition in Western cultures. Here, we present the results of three experiments that test the effect of masks, and also the effect of sunglasses (an occlusion that ...
Eilidh Noyes +4 more
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DigiFace-1M: 1 Million Digital Face Images for Face Recognition [PDF]
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2022 State-of-the-art face recognition models show impressive accuracy, achieving over 99.8% on Labeled Faces in the Wild (LFW) dataset. Such models are trained on large-scale datasets that contain millions of real human face images collected from the ...
Gwangbin Bae +7 more
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FaceNet: A unified embedding for face recognition and clustering [PDF]
Computer Vision and Pattern Recognition, 2015 Despite significant recent advances in the field of face recognition [10, 14, 15, 17], implementing face verification and recognition efficiently at scale presents serious challenges to current approaches.
Florian Schroff +2 more
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