Master'sOpen Access

Face detection on real and semi-real time

2018
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Advisor: Dr. Öğr. Üyesi Ahmet Çınar

Abstract (EN)

Human face detection in images has gained much interest in recent years, for the researchers. One of the reasons behind this increased interest is the need for faster, advance and more reliable tool to provide security at airports, stadiums, hospitals and factories. With computers as a powerful and fast tool, many applications that use face detection and localization are becoming an essential part of our life. In that study, it is carried out to confirm the image that includes a face or not by using technique of image processing and Haar-Cascades Classifier for face detection, to find face places on the picture. When performing this methods, utilized from intel open source computer vision library (OpenCv). Project software and its interface has been prepared by using C# programming language which is based on Windows operating system and Visual Studio framework.

Author

Dr. Atakan Kaplan

How to Cite

Atakan Kaplan (Master Thesis). Face detection on real and semi-real time, 2018, Fırat University.

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