Otomatik Çok Seviyeli Yüz İfadesi Tanıma Sistemi

Yüz ifadesi, insanoğlunun iç duygusunu ifade etmenin, sözlerini vurgulamanın, muhatabın fikrine katılmanın ya da katılmamanın, içinde bulunulan ortamla ve yakında bulunan insanlarla iletişim kurmanın en doğal yollarından biridir. Bu makalede, yakın zamanda tanıtılan ADFES-BIV video veritabanında yer alan farklı yoğunluk düzeylerinde duygular ifade eden yüzler üzerinde insanlar tarafından yürütülmüş bir sınıflandırma deneyine meydan okuyoruz. Önerilen otomatik sistem Seyrek Temsil Temelli Sınıflandırıcıyı kullanır ve videoların doğası gereği içinde barındırdığı zamansal bilgileri dikkate alarak en iyi performansı olan % 80'e ulaşır.

An Automatic Multilevel Facial Expression Recognition System

Facial expression is one of the most natural way of human beings tocommunicate his-her internal feeling, to stress his-her words, to agree or disagreewith the interlocutor, to regulate interaction with the environment and nearbypeople. This paper challenges the classification experiment run by human beingson the ADFES-BIV database, which is a recently introduced collection of videosexpressing low, middle, and high intensity emotions. The proposed automaticsystem uses the Sparse Representation based Classifier and reaches the topperformance of 80 % by considering the temporal information intrinsically presentin the videos.

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