A framework for learning parameterized models of optical flow from image sequences is presented. A class of motions is represented by a set of orthogonal basis flow fields that ar...
Michael J. Black, Yaser Yacoob, Allan D. Jepson, D...
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
Hedvig Sidenbladh, Michael J. Black, David J. Flee...
MR-mirror is a novel Mixed-Reality (MR) display system created by using real and virtual mirrors. It merges real visual information reflected on a real mirror and a virtual one dis...
This paper presents a system for animating customized virtual humans using motion parameters estimated from multi-view image sequences. The advantage of our method is that the sub...
A method for detecting and segmenting periodic motion is presented. We exploit periodicity as a cue and detect periodic motion in complex scenes where common methods for motion se...