3 papers
cs.CV2016
Facial expression recognition based on local region specific features and support vector machines
Deepak Ghimire, Sunghwan Jeong, Joonwhoan Lee +1
Facial expressions are one of the most powerful, natural and immediate means for human being to communicate their emotions and intensions. Recognition of facial expression has many…
cs.CV2016
Recognition of facial expressions based on salient geometric features and support vector machines
Deepak Ghimire, Joonwhoan Lee, Ze-Nian Li +1
Facial expressions convey nonverbal cues which play an important role in interpersonal relations, and are widely used in behavior interpretation of emotions, cognitive science, and…
cs.CV2016
Geometric Feature-Based Facial Expression Recognition in Image Sequences Using Multi-Class AdaBoost and Support Vector Machines
Deepak Ghimire, Joonwhoan Lee
Facial expressions are widely used in the behavioral interpretation of emotions, cognitive science, and social interactions. In this paper, we present a novel method for fully auto…