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portada Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces (Schriftenreihe der Institute für Systemdynamik (Isd) und Optische Systeme (Ios))
Type
Physical Book
Year
2020
Language
English
Pages
161
Format
Paperback
ISBN13
9783658290160
Edition No.
1

Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces (Schriftenreihe der Institute für Systemdynamik (Isd) und Optische Systeme (Ios))

Pascal Laube (Author) · Springer Vieweg · Paperback

Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces (Schriftenreihe der Institute für Systemdynamik (Isd) und Optische Systeme (Ios)) - Pascal Laube

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Synopsis "Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces (Schriftenreihe der Institute für Systemdynamik (Isd) und Optische Systeme (Ios)) "

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.

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