A robust VAR-based (vector autoregressive) model is introduced for motion prediction in 3D hand tracking. This dynamic VAR motion model is learned in an online manner. The kinemat...
In this paper we present a system that can synthesise novel motion sequences from a database of motion capture examples. This is achieved through learning a statistical model from...
— This paper proposes a method to model the modification of upper body motion of dance performance based on the speed of played music. When we observed structured dance motion p...
Much of the motion capture data used in animations, commercials, and video games is carefully segmented into distinct motions either at the time of capture or by hand after the ca...
Jernej Barbic, Alla Safonova, Jia-Yu Pan, Christos...
Many practical dextrous manipulation tasks involve large-scale motion of the grasped object while maintaining a stable grasp. To plan such tasks, one must control both the motion ...