Yüz İfadesi Tanıma için Mesafe Oranlarına Dayalı Öznitelik Çıkarımı ve Genetik Algoritmalar ile Seçimi

Yıl 2019, Cilt: 2 Sayı: 1, 19 - 29, 13.07.2019

Ensar Arif Sağbaş , Osman Gökalp , Aybars Uğur

Öz

Yüz ifadeleri, insanların
duyguları hakkında bilgi vermesi nedeniyle sözsüz iletişimde önemli bir rol
oynamaktadır ve başta eğitim, sağlık, hukuk, eğlence olmak üzere çok çeşitli
alanlarda kullanılmaktadır. Bu çalışmada yüz ifadelerine dayalı duygu tespiti sistemi
geliştirilmiştir. Bu kapsamda yedi temel duygu ifadesi için (mutlu, kızgın,
üzgün, iğrenme, korku, şaşırma ve nötr) toplam 9296 adet görüntü 4 erkek 3
kadın katılımcıdan alınmıştır. Elde edilen görüntüler kullanılarak öncelikle
yüz işaretçilerinin konumu tespit edilmiştir. Sonrasında yüz işaretçileri
arasındaki mesafe oranlarına dayalı yeni bir öznitelik çıkarma yaklaşımı ile
toplamda 120 adet öznitelik çıkartılmıştır. Öznitelik seçiminde Genetik
Algoritmalar kullanılmıştır. Buna ek olarak ReliefF, Information Gain ve Gain
Ratio öznitelik seçimi algoritmalarının başarımı Genetik Algoritmaların sonucu
ile karşılaştırılmıştır. Seçilen özniteliklerin sınıflandırma performansları;
kNN, Bayes Ağları ve Rastgele Orman yöntemleri ile test edilmiştir. Sonuç olarak,
bu çalışmada önerilen öznitelik çıkarma yöntemi ile elde edilen özniteliklerin
Genetik Algoritmalar kullanılarak seçilmesi ve Rastgele Orman ile
sınıflandırılmasının ardından başarılı sonuçlar üretebildiği gözlemlenmiştir.

Anahtar Kelimeler

Yüz ifadesi tanıma, makine öğrenmesi, öznitelik seçimi, genetik algoritmalar, öznitelik çıkarımı

Kaynakça

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