Abstract
In this paper we describe a technique of camera control (viewdirection and zoom) for high-resolution volume intersection. While there have been studies on camera viewpoints for 3D reconstruction, we in particular focus on human body as the target object. The problem to be solved is rather complex because of the complexity of the shape of human body as well as possible self-occlusion. Thus, it is necessary to take not only the position of cameras but the visibility of the target into account. In order to deal with the problem, we propose to utilize a 3-D articulated model of human body for estimating an error distribution in reconstruction. We then propose an optimization method for determining the camera control on the basis of the error distribution while employing the branch-and-bound algorithm. Experimental results through simulation demonstrate the effectiveness of the proposed method.