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

Laube, Pascal

ISBN 10: 3658290161 / ISBN 13: 9783658290160

Editore: Springer Vieweg, 2020

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Dati bibliografici

• Titolo: Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces (Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS))
• Editore: Springer Vieweg
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 3658290161
• ISBN 13: 9783658290160
• Rilegatura: Brossura
• Condizione: New

Descrizione articolo

Riassunto

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.

Informazioni sull?autore

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.