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Author Laube, Pascal, author
Title Machine learning methods for reverse engineering of defective structured surfaces / by Pascal Laube
Imprint Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2020
book jacket
Descript 1 online resource (xv, 161 pages) : illustrations, digital ; 24 cm
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
Series Schriftenreihe der Institute Für Systemdynamik (ISD) und Optische Systeme (IOS), 2661-8087
Schriftenreihe der Institute Für Systemdynamik (ISD) und Optische Systeme (IOS)
Note 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
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
Host Item Springer eBooks
Subject Reverse engineering -- Data processing
Machine learning
Machine Learning
Computer-Aided Engineering (CAD, CAE) and Design
Manufacturing, Machines, Tools, Processes
Alt Author SpringerLink (Online service)
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