This paper presents a novel framework for applying semantic labels to events within a track. A track is a two-dimensional (2D) or a three-dimensional (3D) signal in time where eac...
Abstract. We propose a learning method which introduces explicit knowledge to the object correspondence problem. Our approach uses an a priori learning set to compute a dense corre...
Acquiring on-line the evolving shape of a dynamic scene from a handful of video streams may be considered one of the most challenging, but at the same time also most auspicious ta...
We develop a method for generating smooth trajectories for a set of mobile robots. Given two end configurations, by tuning one parameter, the user can choose an interpolating tra...
This article addresses visualization of deformation or shape differences between bones while conventional visualization techniques are often about a single bone such as its 3D rec...