Surface reconstruction from scattered point cloud based on RBF and POU

Abstract

A method for surface reconstruction from scattered point cloud based on the combination of RBF and POU is proposed. First, point cloud is decomposed into a set of slightly overlapping subdomains in the form of binary tree. Next, local reconstruction functions are evaluated by using radial basis functions in each subdomain. Then, the global reconstruction function is obtained by weighted blending of these local reconstruction functions. Finally, the implicit surface is visualized by using Bloomenthal method. The experiments prove that the surfaces resulted from the proposed method are continuous and smooth.