Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces
Pascal Laube, "Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces"
English | ISBN: 3658290161 | 2020 | 161 pages | PDF | 7 MB
English | ISBN: 3658290161 | 2020 | 161 pages | PDF | 7 MB
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.