Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces

Laube, Pascal

ISBN 10: 3658290161 / ISBN 13: 9783658290160

Verlag: Vieweg + Teubner Verlag, 2020

Beschreibung

160 pages. 8.25x5.75x0.50 inches. In Stock.

Bestandsnummer des Verkäufers x-3658290161

Bibliografische Details

• Titel: Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces
• Verlag: Vieweg + Teubner Verlag
• Erscheinungsjahr: 2020
• Sprache: Englisch
• ISBN-10: 3658290161
• ISBN-13: 9783658290160
• Einband: Paperback
• Zustand: Brand New
• Gewicht: 0,22 Kilogramm

Über diesen Titel

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.

Über 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.