Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces

Paperback Engels 2020 9783658290160
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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.

Specificaties

ISBN13:9783658290160
Taal:Engels
Bindwijze:paperback
Uitgever:Springer Fachmedien Wiesbaden

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Inhoudsopgave

Machine Learning Methods for Parametrization in Curve and Surface Approximation.- Classification of Geometric Primitives in Point Clouds.- Image Inpainting for High-resolution Textures Using CNN Texture Synthesis.

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€ 78,99
Levertijd ongeveer 9 werkdagen
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        Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces