Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces

Pascal Laube (Autor)

Buch | Softcover

XV, 161 Seiten

2020 | 1st ed. 2020
Springer Fachmedien Wiesbaden GmbH (Verlag)
978-3-658-29016-0 (ISBN)

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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.

Machine Learning Methods for Parametrization in Curve and Surface Approximation.- Classification of Geometric Primitives in Point Clouds.- Image Inpainting for High-resolution Textures Using CNN Texture Synthesis.

Erscheinungsdatum	24.01.2020
Reihe/Serie	Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS)
Zusatzinfo	XV, 161 p. 56 illus.
Verlagsort	Wiesbaden
Sprache	englisch
Maße	148 x 210 mm
Gewicht	243 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Informatik ► Weitere Themen ► CAD-Programme
	Technik ► Maschinenbau
Schlagworte	CAD Reverse Engineering • Defective Structured Surfaces • Geometric Modeling • machine learning methods • Surface approximation • Surface Parametrization • surface reconstruction
ISBN-10	3-658-29016-1 / 3658290161
ISBN-13	978-3-658-29016-0 / 9783658290160
Zustand	Neuware