Titel: Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces (Schriftenreihe der Institute f�r Systemdynamik (ISD) und optische Systeme (IOS))
Verlag: Springer Vieweg
Erscheinungsjahr: 2020
Sprache: Englisch
ISBN-10: 3658290161
ISBN-13: 9783658290160
Einband: Softcover
Zustand: New

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Inhaltsangabe

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.

�ber die Autorin bzw. den Autor

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.

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