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Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces

Éditeur :

Springer Vieweg

Paru le : 2020-01-02

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 reconstruct...
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Description du livre

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.

À propos

Auteur
Pascal Laube
Éditeur
Springer Vieweg
Collection
n.c
Parution
2020-01-02
Pages
161 pages
EAN papier
9783658290160

Auteur(s) du livre


Defaut-Illustration Pascal Laube
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.

Caractéristiques détaillées - droits

EAN PDF
9783658290177
Prix
68,56 €
Nombre pages copiables
1
Nombre pages imprimables
16
Taille du fichier
7721 Ko
Ce livre est accessible aux handicaps informations d'accessibilité

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