Twelve Anchor Points Detection by Direct Point Calculation

Authors

  • F. Khalid Department of Multimedia, Faculty of Computer Science and Information Technology Universiti Putra Malaysia, 43400 UPM Serdang, Selangor Darul Ehsan, Malaysia
  • T.M.T Sembok Department of Information Science, Faculty of Technology and Information Science, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor Darul Ehsan, Malaysia
  • K. Omar Deparment of Science and System Management, Faculty of Technology and Information, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor Darul Ehsan, Malaysia

DOI:

https://doi.org/10.32890/jict2007.6.5

Keywords:

3D Face Recognition, 3D Face Detection

Abstract

Facial features can be categorized it into three approaches; Region Approaches, Anchor Point (landmark) Approaches and Contour Approaches. Generally, anchor points approach provide more accurate and consistent representation. For this reason, anchor points approach has been chose to utilize. Although, as the experiment data sets have become larger, algorithms have become more sophisticated even if the reported recognition rates are not as high as in some earlier works. This will cause a higher complexity and computer burden. Indirectly, it also will affect the time for real time face recognition systems. Here, it is proposed the approach of calculating the points directly from the text file to detect twelve anchor points ( nose tip, mouth centre, right eye centre, left eye centre, upper nose and chin). In order to get the anchor points, points for the nose tip have to be detected first. Then the upper nose and face point is localization. Lastly, the outer and inner eyes corner is localized. An experiment has been carried out with 420 models taken from GavabDB in two positions with frontal view and variation of expressions and positions. Our results are compared with three researchers that is similar to and show that better result is obtained with a median error of the eight points is around 5.53mm.

 

References

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Published

03-04-2007

Issue

Vol. 6 (2007): Journal of Information and Communication Technology (JICT) Vol. 6, 2007

Section

Articles

How to Cite

Khalid, F., Sembok, T., & Omar, K. (2007). Twelve Anchor Points Detection by Direct Point Calculation. Journal of Information and Communication Technology, 6, 59-72. https://doi.org/10.32890/jict2007.6.5

Research impact

Harvested 2026-09-22
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Identifiers DOI 10.32890/jict2007.6.5 OpenAlex W2610762640