The Study on Three-Dimensional Reconstruction Based on Hierarchical and Ordered Point Cloud Data

Abstract

Aiming at a new kind of virtual slice 3D non-destructive measurement method, the quality of each slice can be acquired rapidly and accurately by measuring in X, Y and Z directions, and the mathematic model is established to calculate the ordered point cloud data. Based on the ordered point cloud data of physical slices, the reconstruction of points, lines and areas by means of NX secondary development technology and its reverse engineering technology was carried out by means of outlier extraction, feature boundary point extraction and least squares fitting. Dimensional model reconstruction based on hierarchical feature ordered point cloud in NX. The reconstruction of the model is based on the point cloud data measured by the mechanical parts. The experimental results show that the model can be reconstructed more quickly and accurately than the regular measured entities by the experimental verification and error analysis.