Automatic face recognition in real time
This report reviews the different type of face recognition and speech to text algorithms available. Apart from that, this report will also cover the method used to crawl for images and method used to increase the size of the database. By increasing the size of database, models can be better trained...
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2020
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sg-ntu-dr.10356-1394592023-07-07T15:40:45Z Automatic face recognition in real time Lew, Wei Chao Andy Khong W H School of Electrical and Electronic Engineering andykhong@ntu.edu.sg Engineering::Electrical and electronic engineering This report reviews the different type of face recognition and speech to text algorithms available. Apart from that, this report will also cover the method used to crawl for images and method used to increase the size of the database. By increasing the size of database, models can be better trained and improved. Following which, the report will cover the method of preparing training samples. Additionally, this report will cover the pros and cons of each face recognition and speech to text technology used in creating this project. Finally, it will cover the pipeline and results of this project as well as the future work that can be carried out to improve the project. Bachelor of Engineering (Electrical and Electronic Engineering) 2020-05-19T09:20:27Z 2020-05-19T09:20:27Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/139459 en A3022-191 application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering Lew, Wei Chao Automatic face recognition in real time |
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This report reviews the different type of face recognition and speech to text algorithms available. Apart from that, this report will also cover the method used to crawl for images and method used to increase the size of the database. By increasing the size of database, models can be better trained and improved. Following which, the report will cover the method of preparing training samples. Additionally, this report will cover the pros and cons of each face recognition and speech to text technology used in creating this project. Finally, it will cover the pipeline and results of this project as well as the future work that can be carried out to improve the project. |
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Andy Khong W H |
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Andy Khong W H Lew, Wei Chao |
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Final Year Project |
author |
Lew, Wei Chao |
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Lew, Wei Chao |
title |
Automatic face recognition in real time |
title_short |
Automatic face recognition in real time |
title_full |
Automatic face recognition in real time |
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Automatic face recognition in real time |
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Automatic face recognition in real time |
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automatic face recognition in real time |
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Nanyang Technological University |
publishDate |
2020 |
url |
https://hdl.handle.net/10356/139459 |
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