Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Theoretical and Natural Science
Vol. 19, 08 December 2023
Open
Access | Article
The application of convolutional neural networks in face detection
* Author to whom correspondence should be addressed.
Abstract
Face detection is a popular and challenging issue which is widely studied in the past few decades. Its application includes the identity authentication, human machine interaction, security surveillance and social network. To have a better insight of the application of one of the typical deep learning algorithms called Convolutional Neural Network (CNN) in this field, this paper aims to analyze the current literature and progress about the face detection of low image quality and face detection optimization. The literature of Convolutional Neural Network from 2015 was included in this paper. Past research topics of face detection includes the occlusion, scale, small face cluster, speed, precision and multi-task region proposal network. The comparison between various deep learning-based methods in terms of the performance indicated that there is still no high robustness solution to all problems. The future research agendas of face detection based on the Convolutional Neural Network was also summarized.
Keywords
machine learning, deep learning, face detection, convolutional neural network.
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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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- Volume Title
- Proceedings of the 2nd International Conference on Computing Innovation and Applied Physics
- ISBN (Print)
- 978-1-83558-203-9
- ISBN (Online)
- 978-1-83558-204-6
- Published Date
- 08 December 2023
- Series
- Theoretical and Natural Science
- ISSN (Print)
- 2753-8818
- ISSN (Online)
- 2753-8826
- DOI
- 10.54254/2753-8818/19/20230478
- Copyright
- 08 December 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited