3D Face Candidate Region Detection Using Background Subtraction

Authors

  • Zulfikri Paidi Universiti Teknologi MARA, Perlis Branch, Arau Campus
  • Nurzaid Muhd Zain Universiti Teknologi MARA, Perlis Branch, Arau Campus

Keywords:

facial recognition, image recognition, feature extraction

Abstract

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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Published

2016-12-28

How to Cite

Paidi, Z., & Muhd Zain, N. (2016). 3D Face Candidate Region Detection Using Background Subtraction. Journal of Computing Research and Innovation, 1(1), 53–59. Retrieved from //crinn.conferencehunter.com/index.php/jcrinn/article/view/11

Issue

Section

General Computing

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