Learning Silhouette Features for Control of Human Motion

Learning Silhouette Features for Control of Human Motion

L. Ren, J. Hodgins, H. Pfister, G. Shakhnarovich, and P. Viola.

(ACM Transactions on Graphics, 2005.)

We present a vision-based performance interface for controlling animated human characters. The system interactively combines information about the user s motion contained in silhouettes from three viewpoints with domain knowledge contained in a motion capture database to produce an animation of high quality. Such an interactive system might be useful for authoring, for teleconferencing, or as a control interface for a character in a game. In our implementation, the user performs in front of three video cameras