— This work details the authors’ efforts to push the baseline of expression recognition performance on a realistic database. Both subject-dependent and subject-independent emot...
Usman Tariq, Kai-Hsiang Lin, Zhen Li, Xi Zhou, Zha...
Noisy or distorted video/audio training sets represent constant challenges in automated identification and verification tasks. We propose the method of Mutual Interdependence An...
Pasting somebody's face into an existing image with traditional photo retouching and digital image processing tools has only been possible if both images show the face from t...
Volker Blanz, Kristina Scherbaum, Thomas Vetter, H...
Action recognition is a popular and important research topic in computer vision. However, it is challenging when facing viewpoint variance. So far, most researches in action recogn...
We present a fully automatic approach for facial expression recognition based on a representation of facial motion using a vocabulary of local motion descriptors. Previous studies...