A reduction surface reconstruction from point clouds without normal

作者：Zhang Yongde^*; Liu Yanju

来源：International Journal of Digital Content Technology and Its Applications, 2012, 6(11): 386-393.

DOI：10.4156/jdcta.vol6.issue11.48

• Implicit function
• Partition of units
• Point cloud
• Sub-domains
• Sub-surfaces
• Subdomain

In this paper, we proposed a novel surface reconstruction framework from point clouds without normal. In order to solve the normal, we decrease original point clouds before computing the normal. The amount of data is reduced and the calculation of CPU is decreased in this way. The proposed method involves three processes: partition of unit, which divide the point clouds into sub-domains using octree structure and reduce the original data at the same time, 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.

• 出版日期2012