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A Survey of Face Recognition Methods based on Deep Learning
2022
Highlights in Science Engineering and Technology
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learning—face recognition methods based on convolutional neural networks and face recognition methods based on deep belief networks. ...
Face recognition technology based on deep learning has been widely used in various fields such as finance, education, security, transportation, and new retail. ...
Face Recognition Method based on Deep Belief Network Deep belief network is a relatively widely studied deep learning model. Figure 2 is the structure of a deep belief network. ...
doi:10.54097/hset.v24i.3921
fatcat:uhqbsnzxnjf35i56iift5ux4qq
A Survey on Deep Learning Based Approaches for Action and Gesture Recognition in Image Sequences
2017
2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)
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In this paper, we present a survey on current deep learning methodologies for action and gesture recognition in image sequences. ...
We introduce a taxonomy that summarizes important aspects of deep learning for approaching both tasks. ...
Deep learning for action and gesture recognition in image sequences: a survey. Book chapter in Springer Series on Challenges in Machine Learning, forthcoming 2018. ...
doi:10.1109/fg.2017.150
dblp:conf/fgr/Asadi-Aghbolaghi17
fatcat:wzkf5sfc5ncsfjicmkfuw4owxq
Deep Learning for Law Enforcement: A Survey About Three Application Domains
2021
International Conference on Recent Trends and Applications in Computer Science and Information Technology
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To this end, we present a survey about the potential impact of deep learning on three application domains, peculiar to law enforcement agencies. ...
Specifically, we analyze the findings about deep learning for Face Recognition, Fingerprint Recognition, and Violence Detection. ...
] for a detailed list of deep learning-based Face Recognition techniques). ...
dblp:conf/rtacsit/ContardoSFD21
fatcat:qiaxtc2esnhi7fhj6tayxunv7q
Face Recognition: A Novel Multi-Level Taxonomy based Survey
[article]
2019
arXiv
pre-print
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Following the proposed taxonomy, a comprehensive survey of representative face recognition solutions is presented. ...
The paper concludes with a discussion on current algorithmic and application related challenges which may define future research directions for face recognition. ...
In fact, more than 80% of the listed face recognition solutions proposed in 2018 were based on deep learning. ...
arXiv:1901.00713v1
fatcat:ofks5jqf6fca3e4l27nph6eiri
Deep Learning Based Single Sample Per Person Face Recognition: A Survey
[article]
2020
arXiv
pre-print
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There have been several comprehensive surveys for traditional methods based SSPP face recognition approaches, but emerging deep learning based methods are rarely involved. ...
To resolve this issue, and to unleash the full potential of deep learning, many deep learning based SSPP face recognition methods have been proposed in recent years. ...
CONCLUSION This paper presented a comprehensive survey on deep learning based single sample per person face recognition. ...
arXiv:2006.11395v1
fatcat:nqeu3rmrwbh45htuemq364xsrq
Deep-learned faces: a survey
2020
EURASIP Journal on Image and Video Processing
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A conventional deep face recognition system entails several main components: deep network, optimization loss function, classification algorithm, and train data collection. ...
Nonetheless, accurate modeling and recognition of human faces in real-world scenarios "on the wild" or under adverse conditions remains an open problem. ...
Year
Survey
Contribution
2019
Deep-learned faces: a survey (Ours)
Provides an elaborated study on 18 state-of-the-art face recog-
nition systems. 2019
Deep face recognition: a survey [46]
Provides ...
doi:10.1186/s13640-020-00510-w
fatcat:abajshpvffhdha43mluyzdrv5a
The Elements of End-to-end Deep Face Recognition: A Survey of Recent Advances
[article]
2021
arXiv
pre-print
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2021 pre-print arXiv:2009.13290v3 fatcat:g23kyuydyff5jjbv4zscrucy4qOther Versions
Given a natural image or video frame as input, an end-to-end deep face recognition system outputs the face feature for recognition. ...
In this survey article, we present a comprehensive review about the recent advance of each element. To start with, we present an overview of the end-to-end deep face recognition. ...
In this survey, we focus on 2D image based end-to-end deep face recognition which takes the general images or video frames as input, and extracts the deep feature of each face as output. ...
arXiv:2009.13290v4
fatcat:vlconzbbyzee5g3s7xnbjgv3ey
Cloud-Based Facial Expression Recognition System for Customer Satisfaction in Distribution Sectors
2020
Innovative Computing Information and Control Express Letters, Part B: Applications
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In this paper, we propose a cloud-based system architecture to investigate customer satisfaction using face expression recognition system based on artificial intelligence. ...
the simulated situations like a restaurant. ...
In this paper, we propose a system architecture that can automate the existing passive satisfaction survey method by using image analysis method based on deep learning. ...
doi:10.24507/icicelb.11.02.173
fatcat:lj6aibkfc5dnjh2ios3tb23xyu
A Survey on Face and Body Based Human Recognition Robust to Image Blurring and Low Illumination
2022
Mathematics
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Although previous survey papers on recognition covered low-illumination environments as well, they excluded deep learning methods. ...
Therefore, in this survey, we also include details on deep-learning-based low-illumination image recognition methods. We aim to help researchers who will study related fields in the future. ...
However, the main focus of previous survey papers was on human faces. In some cases, deep-learning-based methods were not covered. ...
doi:10.3390/math10091522
fatcat:ohpqui2a5bdirclfcs5cd3m3mm
Survey On Face Detection and Recognition Algorithms Using Deep Learning
2022
Zenodo
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The data faceprint stored via facial traits is compared by the face recognition software using deep learning algorithms.Among them, face detection is a very potent tool for face recognition, image database ...
Biometric technology is based on facial features of a person. Face detection and Recognition are major concerns in the area of biometric based systems and purposes. ...
In a Deep Neural Networks-Based Survey on Face Recognition, The quality of the retrieved features has a significant impact on how well face recognition systems and picture classification algorithms perform ...
doi:10.5281/zenodo.7258758
fatcat:ipipjhnegbfjti73bkg6iposde
Study Of Deep Learning Techniques For Differently Abled Applications And Detection Techniques
2021
Turkish Journal of Computer and Mathematics Education
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Due to the increase development of machine learning and deep learning algorithms, the digital image recognition and object recognition are become more efficient. ...
The objective of this paper is to provide the detailed survey about the existing object recognition, face recognition and text to voice recognition methods proposed to assist VIP. ...
Section II provides the detailed review about the Face Detection techniques based on deep learning algorithms.Section III reviewed about the Object detection methods based on deep learning. ...
doi:10.17762/turcomat.v12i10.5396
fatcat:zw45ghte4vaavpjgdxa4emjlb4
Face Emotion Recognition (FER) Using Convolutional Neural Network (CNN) in Machine Learning
2024
International Journal for Research in Applied Science and Engineering Technology
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Abstract: Facial Emotion Recognition (FER) is a burgeoning field within the realm of machine learning, central to computer vision and artificial intelligence. ...
The ultimate goal is to contribute to a deeper understanding of the latest state-of-the-art studies in facial emotion recognition, particularly within the context of CNNs in machine learning. ...
Initially centred on rule-based systems and heuristics, the landscape witnessed a revolutionary shift with the advent of machine learning, particularly deep learning. ...
doi:10.22214/ijraset.2024.58077
fatcat:4bfmofqkgngcrdy7rvdnc6ehjm
Deep Learning – A first Meta-Survey of selected Reviews across Scientific Disciplines and their Research Impact
[article]
2020
arXiv
pre-print
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With these surveys as a foundation, the aim of this contribution is to provide a first high-level, categorized meta-analysis of selected reviews on deep learning across different scientific disciplines ...
Deep learning tries to achieve this by mimicking the learning of a human brain. ...
[67] provide a survey on various types of deep learning-based approaches on graphs. ...
arXiv:2011.08184v1
fatcat:7eofypvqordn7i4o7qmtoaaydi
Image Perturbation-Based Deep Learning for Face Recognition Utilizing Discrete Cosine Transform
2021
Electronics
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Our survey and experiments demonstrate that a face recognition deep learning model can be trained with images that most people think preserve privacy at a manageable cost in classification accuracy. ...
Face recognition, including emotion classification and face attribute classification, has seen tremendous progress during the last decade owing to the use of deep learning. ...
Acknowledgments: We thank all the 69 people who participated in the survey.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/electronics11010025
fatcat:nv2k2set3ramxb5twndyx5srxy
Machine Learning and Visual Computing
2017
Applied Computational Intelligence and Soft Computing
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This special issue includes one review paper. The work by D. Xie et al. provides a survey of deep learning. ...
, and deep learning. ...
In This special issue includes one review paper. The work by D. Xie et al. provides a survey of deep learning. ...
doi:10.1155/2017/7571043
fatcat:toxniu7fazf57mhharzhai6a5y
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