Surface Reconstruction for 3D Objects from Unorganized Points

摘要

3D surface reconstruction has numerous applications. Many effective algorithms have been developed in the past 20 years. In this paper, we introduce a new surface reconstruction algorithm based on degree of neighbors, which is defined by MST (Minimum Spanning Tree) and compensated scheme. It makes the parameter more stable and easier to be chosen experimentally. Moreover, it steers the reconstruction to be more applicable for sparsely, unevenly sampling points by greatly reducing the disturbance of non-topological neighbors. The massive results of examples illustrate that our approach is effective and competitive.