Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces (Schriftenreihe der Institute f�r Systemdynamik (ISD) und optische Systeme (IOS))

Pascal Laube

ISBN 10: 3658290161 / ISBN 13: 9783658290160

Published by Springer Vieweg 2020-02-25, 2020

About this Item

Seller Inventory # 6666-IUK-9783658290160

Bibliographic Details

• Title: Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces (Schriftenreihe der Institute f�r Systemdynamik (ISD) und optische Systeme (IOS))
• Publisher: Springer Vieweg 2020-02-25
• Publication Date: 2020
• Language: English
• ISBN 10: 3658290161
• ISBN 13: 9783658290160
• Binding: Paperback
• Condition: New

About this title

Synopsis

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.

About the Author

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.