Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces
Author | : Pascal Laube |
Publisher | : Springer Nature |
Total Pages | : 161 |
Release | : 2020-01-02 |
ISBN-10 | : 9783658290177 |
ISBN-13 | : 365829017X |
Rating | : 4/5 (17X Downloads) |
Download or read book Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces written by Pascal Laube and published by Springer Nature. This book was released on 2020-01-02 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.