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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.
Published by: Springer Vieweg
Publication Date: 2020-01-03
Format: Paperback
ISBN-13: 9783658290160
DOI: 10.1007/978-3-658-29017-7
Dimensions: 210cm x148cm
Pages: 161