We present a novel approach to tracking 2D human motion in uncalibrated monocular videos. Human motion usually exhibits timevarying patterns, and we propose to use locally learnt ...
Abstract. We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a c...
Disease-specific understanding of echocardiographic sequences requires accurate characterization of spatio-temporal motion patterns. In this paper we present a method of automatic ...
Tanveer Fathima Syeda-Mahmood, Fei Wang, David Bey...
Abstract. In this work, we present a method for the integration of feature and intensity information for non rigid registration. Our method is based on a free-form deformation mode...
Xenophon Papademetris, Andrea P. Jackowski, Robert...
In this paper, we present a novel approach for 3D facial expression recognition which is inspired by the advances of ant colony and particle swarm optimization (ACO and PSO respec...