Book Details


Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces

Publication year: 2020

ISBN: 978-3-658-29017-7

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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.

Subject: computer science, Machine Learning Methods, CAD Reverse Engineering, Defective Structured Surfaces, Surface Reconstruction, Geometric Modeling, Surface Approximation, Surface Parametrization