Multiple instances based emotion detection using discriminant feature tracking
Abhishek Singh Kilak, Namita Mittal · Journal of Statistics and Management Systems · 2018
Automatic recognition of emotions from the facial expressions continues to be an important aspect in the field of evolution of new age computing systems. In this paper we propose two emotion detection approaches, the first one is based on Compact Local Binary Pattern and is used for construction of hybrid features which increases emotion detection accuracy. Second approach is Enhanced Feature Extraction using Multiple Patches on facial region of images from indigenously developed Bharat Database of Indian Faces, Japanese Female Facial Expression Database and Karolinska Directed Emotional Faces. The results show its applicability for construction of emotion detection systems.