Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces

By: Pascal Laube

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Paperback | 3 January 2020

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180 Pages

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20.9 x 14.8 x 1.2

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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.

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