A new next best view method for 3D modeling of unknown objects

In this paper, we present a new method to determine the “next best view” (NBV) solution for accurate 3D reconstruction of an object with minimum prior information about the object´s geometry. The proposed method determines the best visible surface of unknown objects using an adaptive mean shift algorithm which avoids the inaccessible position. The proposed method automatically generates the 3D model of objects in real time with a minimum number of best visible surface patches while the objects are moving on a turntable. By generating a set of potential next views, the proposed method ensures proper avoidance of unreachable positions. The number of views required to reconstruct a 3D model of objects depends upon their complexity. The proposed method is applicable to all kinds of range sensors and experimental results validate the proposed method for 3D modeling of real objects and prove its robustness.