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Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces (Paperback, 1st ed. 2020): Pascal Laube Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces (Paperback, 1st ed. 2020)
Pascal Laube
R1,747 Discovery Miles 17 470
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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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