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laube pascal - machine learning methods for reverse engineering of defective structured surfaces
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Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces




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Dettagli

Genere:Libro
Lingua: Inglese
Pubblicazione: 01/2020
Edizione: 1st ed. 2020





Trama

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.




Sommario

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.




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.










Altre Informazioni

ISBN:

9783658290160

Condizione: Nuovo
Collana: Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS)
Dimensioni: 210 x 148 mm
Formato: Brossura
Illustration Notes:XV, 161 p. 56 illus.
Pagine Arabe: 161
Pagine Romane: xv


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