书目名称 | Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces |
编辑 | Pascal Laube |
视频video | |
概述 | Demonstrates that machine learning can be a viable part of the CAD reverse engineering pipeline.Scientific-technical study |
丛书名称 | Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS) |
图书封面 |  |
描述 | 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. |
出版日期 | Book 2020 |
关键词 | Machine Learning Methods; CAD Reverse Engineering; Defective Structured Surfaces; Surface Reconstructio |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-658-29017-7 |
isbn_softcover | 978-3-658-29016-0 |
isbn_ebook | 978-3-658-29017-7Series ISSN 2661-8087 Series E-ISSN 2661-8095 |
issn_series | 2661-8087 |
copyright | Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2020 |