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

Buch 3 von 3: Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS)

Laube, Pascal

 
9783658290160: Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces (Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS))
Softcover
ISBN 10: 3658290161 ISBN 13: 9783658290160
Verlag: Springer Vieweg, 2020

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.

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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.

Von der hinteren Coverseite

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.


Contents
  • 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
Target Groups
  • Lecturers and students in the field of machine learning, geometric modeling and information theory
  • Practitioners in the field of machine learning, surface reconstruction and CAD
The Author
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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Verlag
Springer Vieweg
Erscheinungsdatum
2020
Sprache
Englisch
ISBN 10 
3658290161
ISBN 13 
9783658290160
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
180
Kontakt zum Hersteller
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Deutschland

Weitere beliebte Ausgaben desselben Titels

9783658290184: Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces

Vorgestellte Ausgabe

ISBN 10:  3658290188 ISBN 13:  9783658290184
Verlag: Springer Vieweg, 2020
Softcover