@inproceedings{c3c6c2c103b347aaab4cb31475fdc10c,
title = "G{\"o}r{\"u}nt{\"u} Tabanli Y{\"u}z Ifadesi Tespiti",
abstract = "The automatic recognition of emotional states are quite researched problem. In this work, emotion recognition problem was investigated and the system has been developed that can recognize expressions of happy, sad, surprised, angry, afraid, disgusted and neutral from an image. Previously, a feature vector was extracted for the detected face and the classification was made using the distance information between the vector and vectors of emotional expression. SVM(Support Vector Machine) approach was used. Middle-aged faces were studied without glasses and clean-shaven. KDEF dataset was used.",
keywords = "facial expression detection, image processing",
author = "Funda Akyol and {\c S}ahin, \{Pinar Duygulu\}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 24th Signal Processing and Communication Application Conference, SIU 2016 ; Conference date: 16-05-2016 Through 19-05-2016",
year = "2016",
month = jun,
day = "20",
doi = "10.1109/SIU.2016.7495814",
language = "T{\"u}rk{\c c}e",
series = "2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "609--612",
booktitle = "2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings",
address = "!!United States",
}