Face perception in deep learning and safety

Research Article
Open access

Face perception in deep learning and safety

Yiyun Xie 1*
  • 1 Rutgers University    
  • *corresponding author yx291@roseprogram.rutgers.edu
Published on 7 February 2024 | https://doi.org/10.54254/2755-2721/36/20230441
ACE Vol.36
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-83558-297-8
ISBN (Online): 978-1-83558-298-5

Abstract

Face perception are very useful and common in our daily life today. Not only in the unlock phone but also in some crime situation. This article will introduce several way for computer to do the face perception. In this article, I will introduce the modern majority way to do the face perception. The common way to reading face is whether separate in different part or building 3D figure for face. There are several advantage by using different way like Face net, Fece++. They could be used in different condition. After reading the image from picture, we need to train computer to do the match and do better. This is the machine learning, the best tool today is CNN or python. Even all of face perception tool could not handle the low quality picture or video, but they could have 90% accuracy in certain condition. That is the accuracy for human to do it, but computer have faster speed in face perception than people did.

Keywords:

Face Perception, CNN, Machine Learning

Xie,Y. (2024). Face perception in deep learning and safety. Applied and Computational Engineering,36,173-179.
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References

[1]. E. Zhou, Z. Cao, and Q. Yin, 2015, arXiv, 19.

[2]. S. Almabdy and L. Elrefaei, 2019, Applied Sciences, 9, 20.

[3]. Kshirsagar, V.P.; Baviskar, M.R.; Gaikwad, M.E. 2011 In Proceedings of the 2011 3rd International Conference on Computer Research and Development, Shanghai, China, 2, 11.

[4]. Bartlett, M.S.; Movellan, J.R.; Sejnowski, T.J. 2002, Neural Netw. 13, 1450

[5]. Ojala, T.; Pietikainen, M.; Maenpaa, T. 2002, IEEE Trans. Pattern Anal. Mach. Intell. 24, 971

[6]. Liu, Y.; Lin, M.; Huang, W.; Liang, J. 2017, J. Vis. Lang. Comput. 43, 103

[7]. Taigman, Y.; Yang, M.; Ranzato, M.; Wolf, L. 2014, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 23, 1.

[8]. S.Almabdy and L. Elrefaei, 2019 Applied Sciences, 9, 20.

[9]. S. Ayyappan and S. Matilda, 2020, Automation and Networking (ICSCAN), Pondicherry, India: IEEE.

[10]. S. Nagpal, M. Singh, R. Singh, and M. Vatsa, 2016, arXiv, 19.

[11]. F. Schroff, D. Kalenichenko, and J. Philbin, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Cite this article

Xie,Y. (2024). Face perception in deep learning and safety. Applied and Computational Engineering,36,173-179.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2023 International Conference on Machine Learning and Automation

ISBN：978-1-83558-297-8(Print) / 978-1-83558-298-5(Online)
Editor：Mustafa İSTANBULLU
Conference website: https://2023.confmla.org/
Conference date: 18 October 2023
Series: Applied and Computational Engineering
Volume number: Vol.36
ISSN：2755-2721(Print) / 2755-273X(Online)

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References

[1]. E. Zhou, Z. Cao, and Q. Yin, 2015, arXiv, 19.

[2]. S. Almabdy and L. Elrefaei, 2019, Applied Sciences, 9, 20.

[3]. Kshirsagar, V.P.; Baviskar, M.R.; Gaikwad, M.E. 2011 In Proceedings of the 2011 3rd International Conference on Computer Research and Development, Shanghai, China, 2, 11.

[4]. Bartlett, M.S.; Movellan, J.R.; Sejnowski, T.J. 2002, Neural Netw. 13, 1450

[5]. Ojala, T.; Pietikainen, M.; Maenpaa, T. 2002, IEEE Trans. Pattern Anal. Mach. Intell. 24, 971

[6]. Liu, Y.; Lin, M.; Huang, W.; Liang, J. 2017, J. Vis. Lang. Comput. 43, 103

[7]. Taigman, Y.; Yang, M.; Ranzato, M.; Wolf, L. 2014, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 23, 1.

[8]. S.Almabdy and L. Elrefaei, 2019 Applied Sciences, 9, 20.

[9]. S. Ayyappan and S. Matilda, 2020, Automation and Networking (ICSCAN), Pondicherry, India: IEEE.

[10]. S. Nagpal, M. Singh, R. Singh, and M. Vatsa, 2016, arXiv, 19.

[11]. F. Schroff, D. Kalenichenko, and J. Philbin, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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