Browsing by Author "Anbarjafari G."
Now showing items 1-4 of 4
-
Automatic Hidden Sadness Detection Using Micro-Expressions
Grobova J.; Colovic M.; Marjanovic M.; Njegus A.; Demire H.; Anbarjafari G. (Institute of Electrical and Electronics Engineers Inc., 2017)Micro-expressions (MEs) are very short, rapid, difficult to control and subtle which reveal hidden emotions. Spotting and recognition of MEs are very difficult for humans. Lately, researchers have tried to develop automatically ... -
Dominant and Complementary Multi-Emotional Facial Expression Recognition Using C-Support Vector Classification
Loob C.; Rasti P.; Lusi I.; Jacques J.C.S.; Jr.; Baro X.; Anbarjafari G. (Institute of Electrical and Electronics Engineers Inc., 2017)We are proposing a new facial expression recognition model which introduces 30+ detailed facial expressions recognisable by any artificial intelligence interacting with a human. Throughout this research, we introduce two ... -
Medical image illumination enhancement and sharpening by using stationary wavelet transform [Kalici Dalgacik Dönüşümü Kullanarak Tibbi Imge Aydinlatma Pekiştirme ve Netleşme]
Rasti P.; Daneshmand M.; Alisinanoglu F.; Ozcinar C.; Anbarjafari G. (Institute of Electrical and Electronics Engineers Inc., 2016)Medical images captured by various devices have different illumination states based on chemicals used by patient prior to scanning. Consider a MRI image which has low contrast or is too bright, hence the experts cannot ... -
Speech-based emotion recognition and next reaction prediction
Noroozi F.; Akrami N.; Anbarjafari G. (Institute of Electrical and Electronics Engineers Inc., 2017)Communication through voice is one of the main components of affective computing in human-computer interaction. In this type of interaction, properly comprehending the meanings of the words or the linguistic category and ...