Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces

Pascal Laube

ISBN 10: 3658290161 / ISBN 13: 9783658290160

Verlag: Springer Fachmedien Wiesbaden, Springer Fachmedien Wiesbaden Jan 2020, 2020

Beschreibung

Neuware -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.Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Straße 46, 65189 Wiesbaden 180 pp. Englisch.

Bestandsnummer des Verkäufers 9783658290160

Bibliografische Details

• Titel: Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces
• Verlag: Springer Fachmedien Wiesbaden, Springer Fachmedien Wiesbaden Jan 2020
• Erscheinungsjahr: 2020
• Sprache: Englisch
• ISBN-10: 3658290161
• ISBN-13: 9783658290160
• Einband: Taschenbuch
• Zustand: Neu
• Abmessungen: 210B x 148 H x 11 T Millimeter Breite: 210 mm, Höhe: 148 mm, Tiefe: 11 mm
• Gewicht: 241 Gramm

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.