We present an unsupervised approach for learning a generative layered representation of a scene from a video for motion segmentation. The learnt model is a composition of layers, ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
In this paper, we present a technique we call "cartoon capture and retargeting" which we use to track the motion from traditionally animated cartoons and retarget it ont...
Christoph Bregler, Lorie Loeb, Erika Chuang, Hrish...
Abstract. Estimation using homogeneous entities has to cope with obstacles such as singularities of covariance matrices and redundant parametrizations which do not allow an immedia...
This paper presents a software-based parameter-free method for the demultiplexing of a video stream [7] that is missing camera labeling information. The method is based on the obs...
Jose Luis Lisani, Lenny Rudin, Pascal Monasse, Jea...
We introduce a novel approach to modeling the dynamics of human facial motion induced by the action of speech for the purpose of synthesis. We represent the trajectories of a numbe...