@phdthesis{Laube2020,
  author    = {Laube, Pascal},
  title     = {Machine learning methods for reverse engineering of defective structured surfaces},
  series    = {Schriftenreihe der Institute f{\"u}r Systemdynamik (ISD) und optische Systeme (IOS)},
  isbn      = {978-3-658-29017-7},
  doi       = {10.1007/978-3-658-29017-7},
  institution = {Institut f{\"u}r Optische Systeme - IOS},
  pages     = {160},
  year      = {2020},
  abstract  = {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.},
  language  = {en}
}