Abstract
In this paper, we propose a new framework to obtain precise 3D model, in which likelihood evaluation is introduced for foreground extraction in a 3D model-silhouette feedback scheme. Experimental results show that the proposed framework is less sensitive to threshold parameters for separation of foreground.