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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces

Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces

Laube, Pascal

Paperback

Series: Schriftenreihe Der Institute Für Systemdynamik (Isd) Und Opt

Technology & EngineeringGeneral Computers

ISBN10: 3658290161
ISBN13: 9783658290160
Publisher: Springer Vieweg
Published: Jan 3 2020
Pages: 161
Weight: 0.49
Height: 0.38 Width: 5.83 Depth: 8.27
Language: English
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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