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Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces

Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces

Brand
Springer Nature
Manufacturer
N/A
Part Number
0
GTIN
9783658290160
Condition
New
Product Description

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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