A Novel Surface Reconstruction Framework from Point Clouds without Normal

Abstract

In this paper, we proposed a novel surface reconstruction framework from point clouds without normal. The proposed method involves three processes: partition of unit, which divide the point clouds into sub-domains using octree structure, generation of the sub-surface, which fit the sub-surface by implicit function in each sub-domain, the normal alignment, which compute normal of sub-surface and inference the global normal of surface by iteratively propagate algorithm. During the last process, sub-surfaces are blended to form entire surface reconstruction. The method is suitable to reconstruct surface with lack of information. The experimental results demonstrate that the method is effective in surface reconstruction.