Extracting Methods of Primitive Shapes and Boundary Curves from Scattered Point Set
Chaoming He · 2011
A huge scattered point data includes all kinds of scanning artifacts including noise,outliers,holes and irregular/anisotropic sampling.Most common surface reconstruction methods fail due to these shortcomings.This poses challenges to recovering datasets topology and retrieving features.In order to solve this problem,a robust and efficient reconstruction method was proposed.First,computed local properties for each data point,then used this information to detect simple primitive shapes in the data,at last,described a novel method to extract and optimize boundary curves on the primitive shapes and Employed the reconstructed boundary curves to extract a piecewise smooth surface mesh.The experimental results show the effectiveness of our method with reconstructions of synthetic datasets and real-scenes datasets.