Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces
Publication year: 2020
: 978-3-658-29017-7
Pascal Laube presents machine learning approaches for three key problems of reverse engineering of defective structured surfaces: parametrization of curves and surfaces, geometric primitive classification and inpainting of high-resolution textures. The proposed methods aim to improve the reconstruction quality while further automating the process. The contributions demonstrate that machine learning can be a viable part of the CAD reverse engineering pipeline.
: computer science, Machine Learning Methods, CAD Reverse Engineering, Defective Structured Surfaces, Surface Reconstruction, Geometric Modeling, Surface Approximation, Surface Parametrization
