Analysis and research of the main methods of face recognition

  • V. Sosnovskiy Taras Shevchenko National University of Kyiv
  • А. Khlevniy Taras Shevchenko National University of Kyiv
Keywords: face recognition, algorithm, key points, accuracy.

Abstract

The article deals with the main methods of face recognition, that are used to identify the person. The study describes the basic process of face recognition, and conducts the review of the advantages and disadvantages of the most popular algorithms for face recognition. Based on received results the comparative analysis of the methods is conducted and conclusions about the most perspective directions of studies in this scope are made.

References

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Timo Ahonen, Abdenour Hadid, and Matti Pietikainen. Face recognition with local binary ¨ patterns. In Computer vision-eccv 2004, pages 469–481. Springer, 2004

Viola P. and Jones M.J. Robust real-time face detection. International Journal of Computer Vision, vol. 57, no. 2, 2004, pp. 137–154.

Viola, P. Rapid object detection using a boosted cascade of simple features / Р. Viola // IEEE Conf. on Computer Vision and Pattern Recognition. – Kauai, Hawaii, USA, 2001. – V. 1. – P. 511–518.

Yang M. Recent Advances in Face Detection / M. Yang // Tutorial of The IEEE International Conference on Pattern Recognition. – Cambridge (United Kingdom), 2004. – 93 p.

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Published
2020-02-26
How to Cite
Sosnovskiy, V., & KhlevniyА. (2020). Analysis and research of the main methods of face recognition. COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, (35), 192-197. Retrieved from http://cit-journal.com.ua/index.php/cit/article/view/75
Section
Computer science and computer engineering