Face detection on real and semi-real time
2018
0 views
0 downloads
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.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Fırat University
- Color usage at Turkish Divan of Fuzûlî(2013)
- Geometric properties of Hasimoto surfaces in Minkowski 3-space(2022)
- The relationship between capitalism and fascism on the axis of two world wars(2022)
- Analysis in the context of entrepreneurship of factors that affect the spreading strategies of mutinational companies in the global scale(2018)
- Evaluation of massive open online course participants in environmental terms(2019)
- Effect of rehabilitation program on the volume of Corpus callosum in paralyzed patients(2019)
