Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces
2020 ed.
by
Pascal Laube
Book Details
Format
Paperback / Softback
ISBN-10
3658290161
ISBN-13
9783658290160
Edition
2020 ed.
Publisher
Springer Fachmedien Wiesbaden
Imprint
Springer Vieweg
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jan 3rd, 2020
Print length
161 Pages
Product Classification:
Production engineeringComputer-aided design (CAD)Machine learning
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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.
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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