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

Book 3 of 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
Publisher: Springer Vieweg, 2020

Synopsis

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.

"synopsis" may belong to another edition of this title.

About 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.

From the Back Cover

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.

"About this title" may belong to another edition of this title.

Publisher
Springer Vieweg
Publication date
2020
Language
English
ISBN 10 
3658290161
ISBN 13 
9783658290160
Binding
Paperback
Edition number
1
Number of pages
176

Other Popular Editions of the Same Title

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

Featured Edition

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