Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces (eBook)

Pascal Laube (Autor)

eBook Download: PDF

2020 | 1st ed. 2020
XV, 161 Seiten
Springer Fachmedien Wiesbaden (Verlag)
978-3-658-29017-7 (ISBN)

Infos

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.

Pascal Laube's main research interest is the development of machine learning methods for CAD reverse engineering. He is currently developing self-driving cars for an international operating German enterprise in the field of mobility, automotive and industrial technology.

Produkt-Details

• Erscheint lt. Verlag: 2.1.2020
• Reihe/Serie: Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS)
• Reihe/Serie: Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS)
• Zusatzinfo: XV, 161 p. 56 illus.
• Sprache: englisch
• Themenwelt: Informatik ► Weitere Themen ► CAD-Programme
• Themenwelt: Wirtschaft ► Betriebswirtschaft / Management ► Logistik / Produktion
• Schlagworte: CAD Reverse Engineering • Defective Structured Surfaces • Geometric Modeling • machine learning methods • Surface approximation • Surface Parametrization • surface reconstruction
• ISBN-10: 3-658-29017-X / 365829017X
• ISBN-13: 978-3-658-29017-7 / 9783658290177