We address the problem of learning view-invariant 3D models of human motion from motion capture data, in order to recognize human actions from a monocular video sequence with arbi...
The paper poses video-to-video face recognition as a dynamical system identification and classification problem. Video-to-video means that both gallery and probe consists of video...
Amit K. Roy Chowdhury, Gaurav Aggarwal, Rama Chell...
— This paper presents the fuzzy video based emotion recognition system VISBER, that allows to analyze facial expressions in video sequences. In order to process images in real-ti...
Natascha Esau, Evgenija Wetzel, Lisa Kleinjohann, ...
We review several model-based and image-based methods that we have developed for analyzing, synthesizing, and recognizing facial images. Our model-based methods include a sophisti...
Demetri Terzopoulos, Yuencheng Lee, M. Alex O. Vas...
This paper describes an efficient method to make an individual face for animation from several possible inputs and how to use this result for a realistic talking head communication...