Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces
| By: | Pascal Laube |
| Publisher: | Springer Nature |
| Print ISBN: | 9783658290160 |
| eText ISBN: | 9783658290177 |
| Edition: | 0 |
| Copyright: | 2020 |
| Format: | Page Fidelity |
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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.