3D face candidate region detection using background subtraction / Zulfikri Paidi and Nurzaid Muhd Zain

In this paper, we have explored 3D face candidate region detection using background subtraction. Our focus is to solve the first challenge in face registration, which is to detect and identify face region. From the experiment, it shows some promising results related to using background subtraction i...

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Main Authors: Paidi, Zulfikri, Muhd Zain, Nurzaid
Format: Article
Language:English
Published: Universiti Teknologi MARA, Perlis 2016
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Online Access:https://ir.uitm.edu.my/id/eprint/53609/1/53609.pdf
https://ir.uitm.edu.my/id/eprint/53609/
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Institution: Universiti Teknologi Mara
Language: English
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spelling my.uitm.ir.536092021-12-01T09:06:56Z https://ir.uitm.edu.my/id/eprint/53609/ 3D face candidate region detection using background subtraction / Zulfikri Paidi and Nurzaid Muhd Zain Paidi, Zulfikri Muhd Zain, Nurzaid Algorithms Human face recognition (Computer science) In this paper, we have explored 3D face candidate region detection using background subtraction. Our focus is to solve the first challenge in face registration, which is to detect and identify face region. From the experiment, it shows some promising results related to using background subtraction in face candidate region detection algorithm. Firstly, we have succeeded in generating an oval shape for boundary region detection. Secondly, our face candidate region detection rate in percentage using background subtraction is 72.5% higher compared when background subtraction is excluded, which achieved only 60% of success rate. Universiti Teknologi MARA, Perlis 2016 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/53609/1/53609.pdf ID53609 Paidi, Zulfikri and Muhd Zain, Nurzaid (2016) 3D face candidate region detection using background subtraction / Zulfikri Paidi and Nurzaid Muhd Zain. Journal of Computing Research and Innovation, 1 (1): 8. pp. 53-59. ISSN 2600-8793 https://jurnalintelek.uitm.edu.my/index.php/main
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Algorithms
Human face recognition (Computer science)
spellingShingle Algorithms
Human face recognition (Computer science)
Paidi, Zulfikri
Muhd Zain, Nurzaid
3D face candidate region detection using background subtraction / Zulfikri Paidi and Nurzaid Muhd Zain
description In this paper, we have explored 3D face candidate region detection using background subtraction. Our focus is to solve the first challenge in face registration, which is to detect and identify face region. From the experiment, it shows some promising results related to using background subtraction in face candidate region detection algorithm. Firstly, we have succeeded in generating an oval shape for boundary region detection. Secondly, our face candidate region detection rate in percentage using background subtraction is 72.5% higher compared when background subtraction is excluded, which achieved only 60% of success rate.
format Article
author Paidi, Zulfikri
Muhd Zain, Nurzaid
author_facet Paidi, Zulfikri
Muhd Zain, Nurzaid
author_sort Paidi, Zulfikri
title 3D face candidate region detection using background subtraction / Zulfikri Paidi and Nurzaid Muhd Zain
title_short 3D face candidate region detection using background subtraction / Zulfikri Paidi and Nurzaid Muhd Zain
title_full 3D face candidate region detection using background subtraction / Zulfikri Paidi and Nurzaid Muhd Zain
title_fullStr 3D face candidate region detection using background subtraction / Zulfikri Paidi and Nurzaid Muhd Zain
title_full_unstemmed 3D face candidate region detection using background subtraction / Zulfikri Paidi and Nurzaid Muhd Zain
title_sort 3d face candidate region detection using background subtraction / zulfikri paidi and nurzaid muhd zain
publisher Universiti Teknologi MARA, Perlis
publishDate 2016
url https://ir.uitm.edu.my/id/eprint/53609/1/53609.pdf
https://ir.uitm.edu.my/id/eprint/53609/
https://jurnalintelek.uitm.edu.my/index.php/main
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