We advocate the use of Gaussian Process Dynamical Models (GPDMs) for learning human pose and motion priors for 3D people tracking. A GPDM provides a lowdimensional embedding of hu...
Many applications require the ability to track the 3-D motion of the subjects. We build a particle filter based framework for multimodal tracking using multiple cameras and multip...
Dmitry N. Zotkin, Vikas C. Raykar, Ramani Duraiswa...
Particle filters encode a time-evolving probability density by maintaining a random sample from it. Level sets represent closed curves as zero crossings of functions of two variab...
Abstract. We present an algebraic solution to both direct and featurebased registration of diffusion tensor images under various local deformation models. In the direct case, we sh...
A common practice when carrying out self-calibration of a camera from one or more views is to start with a guess at the principal point. The general belief is that inaccuracies in...