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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Universiti Teknologi MARA, Perlis
2016
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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 |
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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 |
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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. |
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Article |
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Paidi, Zulfikri Muhd Zain, Nurzaid |
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Paidi, Zulfikri Muhd Zain, Nurzaid |
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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 |
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2016 |
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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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