TY - THES U1 - Dissertation / Habilitation A1 - Laube, Pascal T1 - Machine learning methods for reverse engineering of defective structured surfaces T2 - Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS) N2 - 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. Y2 - 2020 SN - 978-3-658-29017-7 SB - 978-3-658-29017-7 SN - 978-3-658-29016-0 SB - 978-3-658-29016-0 U6 - https://doi.org/10.1007/978-3-658-29017-7 DO - https://doi.org/10.1007/978-3-658-29017-7 SP - 160 S1 - 160 PB - Springer Vieweg CY - Wiesbaden ER -