Comparative Study of Harris and Active Contour using Viola-Jones Algorithm for Facial Landmarks Detection

Authors

  • Manal El Rhazi Intelligent Systems and Applications Laboratory Faculty of Science and Technology Sidi Mohamed Ben Abdellah University Fez, Morocco
  • Arsalane Zarghili Intelligent Systems and Applications Laboratory Faculty of Science and Technology Sidi Mohamed Ben Abdellah University Fez, Morocco
  • Aicha Majda Intelligent Systems and Applications Laboratory Faculty of Science and Technology Sidi Mohamed Ben Abdellah University Fez, Morocco

DOI:

https://doi.org/10.14738/tmlai.54.3196

Keywords:

Harris corner detector, Snake, facial features, Viola and Jones, image processing.

Abstract

In this paper, we present a comparative study of two methods: Harris corners detector (H) and Active Contour detector (A.C) using Viola-Jones algorithm (V.J) for facial landmarks (eyes, nose, mouth) corners detection. These methods were implemented on two face databases; ECVP and FEI databases with combination of two methods (V.J + H) and (V.J + A.C). Experimental results showed that (V.J +A.C) gives a higher rate of detection than (V.J + H) method.

 

References

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Published

2017-09-01

How to Cite

El Rhazi, M., Zarghili, A., & Majda, A. (2017). Comparative Study of Harris and Active Contour using Viola-Jones Algorithm for Facial Landmarks Detection. Transactions on Machine Learning and Artificial Intelligence, 5(4). https://doi.org/10.14738/tmlai.54.3196

Issue

Section

Special Issue : 1st International Conference on Affective computing, Machine Learning and Intelligent Systems