A Novel Occlusion Planning Method for Unknown 3D Objects Automatic Reconstruction

In this paper, a new planning approach for automatic reconstruction of unknown 3D objects with occlusion is proposed. During reconstruction process, the contour of occlusion is predicted reasonably firstly. Secondly, the optimal spatial position of the vision system would be determined where the vision system can obtain the maximum visible area. Finally, the reconstruction processes of the real objects are experimented to validate the feasibility of the proposed method.