This lecture overviews Facial Expression Recognition that has many applications in Human-centered Computing, Image and Video Analysis and Social Media Analytics. It covers the following topics in detail: Classical Facial Expression Recognition: Grid-Based Methods, Subspace methods. DNN Facial Expression Recognition: DNN Facial Expression Recognition on static images, DNN Facial Expression Recognition on videos. 3D Facial Expression Recognition. Facial Expression Recognition datasets.
