Abstract We present a new system for 3D head tracking and pose estimation in low-resolution, multi-view environments. Our approach consists of a joint particle filter scheme, that...
This paper provides a method for recognizing 3D objects in a single camera image and for determining their 3D poses. A model is trained solely based on the geometry information of ...
Markus Ulrich, Christian Wiedemann, Carsten Steger
Automatic recovery of 3D human pose from monocular image sequences is a challenging and important research topic with numerous applications. Although current methods are able to r...
We introduce a new class of probabilistic latent variable model called the Implicit Mixture of Conditional Restricted Boltzmann Machines (imCRBM) for use in human pose tracking. K...
Graham Taylor, Leonid Sigal, David Fleet, Geoffrey...
Abstract. This paper presents a method to recover the 3D configuration of a face in each frame of a video. The 3D configuration consists of the three translational parameters and...