Differentiating Between Spontaneous and Posed Facial Expression using Inception V4

2018

Master's thesis Information- and communication technology IKT590 - University of Agder 2018 This thesis proposes a way to simplify and make solutions for spontaneous and posed facial expression analysis more efficient. Traditional approaches have been using hand-crafted features and two image frames to be able to differentiate between spontaneous and posed facial expressions. The solution aims to be as flexible as possible and introduces two models to differentiate between posed and spontaneous facial expression. We introduce Inception V4 as an algorithm to solve this task. The results indicate that Inception V4 may be too deep and unable to differentiate between spontaneous and posed facia…