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… Continue reading Facial Expression Recognition
Archives: Resources
Resource description
Visual Speech Recognition
This lecture overviews Visual Speech Recognition that has many applications in Human-centered Computing, Image and Video Analysis and Social Media Analytics. It covers the following topics in detail: Visual Speech Recognition: Visemes and Phonemes, Face detection, Landmark Localization, Lip reading, Speech reading beyond the lips. Audio-Visual Speech Recognition. Deep Audio-Visual Speech Recognition: Convolutional Neural Networks. Recurrent Neural Networks. Overlapped speech.… Continue reading Visual Speech Recognition
Facial Feature Detection
This lecture overviews Facial Feature Detection that has many applications in Human-centered Computing, Image and Video Analysis and Social Media Analytics. It covers the following topics in detail: Face Description Models (FDP/FAP, CANDIDE). Eyes detection. Mouth and lip detection. Eyebrows, nose, chin detection. DNN Facial Feature Detection. Dynamic 3D face modeling.
Face De-identification for Privacy and Protection
Privacy protection is a very important issue, in the context of social media and GDPR. This lecture overviews the face de-identification problem from an engineering perceptive. In principle, face de-identification methods aim on calculating an affine or a non-linear transformation to an input facial image, so that the depicted person identity is no longer recognized… Continue reading Face De-identification for Privacy and Protection
Face Clustering
This lecture overviews Face Clustering that has many applications in Human-centered Computing, Image and Video Analysis and Social Media Analytics. It covers the following topics in detail: Facial image similarities. Similarity graphs. N-cut clustering. Applications.
Face Recognition
This lecture overviews that has many applications in Human-centered Computing, Image and Video Analysis, Surveillance and Social Media Analytics. It covers the following topics in detail: Face recognition/identification. Face verification. Performance evaluation. Traditional face recognition methods (subspace, EGM). DNN face recognition. Facial label propagation.