Online motion retargetting

This paper presents a method to retarget the motion of a character to anoth er in real time. The technique is based on inverse rate control, which comp utes the changes in joint angles corresponding to the changes in end-effect or position. While tracking the multiple end-effector trajectories of the o l original subject or character, our online motion retargetting also minimi zes the joint angle differences by exploiting the kinematic redundancies of the animated model. This method can apply a captured motion to another ant hropometry so that it can perform slightly different motion, while preservi ng the original motion characteristics. Because the above is none online, a real-time performance can be mapped to other characters. Moreover if the m ethod is used interactively during motion capture session, the feedback of retargetted motion on the screen provides more chances to get satisfactory results. As a by-product, our algorithm can be used to reduce measurement e rrors in restoring captured motion. The data enhancement improves the accur acy in both joint angles and end-effector positions. Experimental results s how that our retargetting algorithm preserves high-frequency details of the original motion quite accurately. Copyright (C) 2000 John Wiley & Sons, Lt d.