Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces - Brossura

Libro 3 di 3: Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS)

Laube, Pascal

 
9783658290160: Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces
Brossura
ISBN 10: 3658290161 ISBN 13: 9783658290160
Casa editrice: Springer Vieweg, 2020

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

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.

Dalla quarta di copertina

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer Vieweg
Data di pubblicazione
2020
Lingua
Inglese
ISBN 10 
3658290161
ISBN 13 
9783658290160
Rilegatura
Copertina flessibile
Numero edizione
1
Numero di pagine
180
Contatto del produttore
ProductSafety@springernature.com
ProductSafety@springernature.com

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Altre edizioni note dello stesso titolo

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

Edizione in evidenza

ISBN 10:  3658290188 ISBN 13:  9783658290184
Casa editrice: Springer Vieweg, 2020
Brossura