Facial expression recognition (FER) is an important field in computer vision with many practical applications. However, one of the challenges FER dealing small sample data, where number samples available for training machine learning algorithms limited. To address this issue, a domain adaptive strategy proposed paper. The approach uses public dataset sufficient as source and target domain. Furt...

MiE is a facial involuntary reaction that reflects the real emotion and thoughts of human being. It very difficult for normal to detect Micro-Expression (MiE), since it fast local face with low intensity. As consequence, challenging task researchers build an automatic system recognition. Previous works recognition have attempted use whole face, yet appears in small region which makes extraction...

Abstract We address the problem of facial expression recognition and show a possible solution using quantum machine learning approach. In order to define an efficient classifier for given dataset, our approach substantially exploits interference. By representing face expressions via graphs, we as circuit that manipulates graphs adjacency matrices encoded into amplitudes some appropriately defin...