Original scientific paper

https://doi.org/10.17559/TV-20181029173333

Easymatch- An Eye Localization Method for Frontal Face Images Using Facial Landmarks

Muhammed Emre Colak* orcid.org/0000-0003-2317-2385 ; Firat University, Faculty of Engineering, Department of Software Engineering, 23119 Elazig/Turkey
Asaf Varol orcid.org/0000-0003-1606-4079 ; Firat University, Faculty of Engineering, Department of Software Engineering, 23119 Elazig/Turkey

Abstract

Eye detection algorithms are being used in many fields such as camera applications for entertainment and commercial purposes, gaze detection applications, computer-human interaction applications, and eye recognition applications for security, etc. Successful and fast eye detection is an essential step for all these applications in order to achieve good results. There are many eye detection methods in the literature, and most of them rely on the Viola-Jones method to detect the face before localizing eyes. In this paper, a straightforward approach to detect eyes from images which contain a frontal face is proposed. The approach can be used for real-time eye detection using cheap web cameras or other cameras. First, face landmarks are detected from the image, and by utilizing these landmarks; the eye region is determined. The eye radius is estimated by utilizing eye corners. Then, reduced input images are tested with a tailored matching algorithm which does not need image reduction to determine where the eye is.

Keywords

eye localization; face detection; image matching; image processing

Hrčak ID:

234220

URI

https://hrcak.srce.hr/234220

Publication date:

15.2.2020.

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