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Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces

Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces - Schriftenreihe Der Institute Für Systemdynamik (ISD) Und Optische Systeme (IOS)

Paperback (03 Jan 2020)

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    Publisher's Synopsis

    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.

    Book information

    ISBN: 9783658290160
    Publisher: Springer Fachmedien Wiesbaden
    Imprint: Springer Vieweg
    Pub date:
    Language: English
    Number of pages: 161
    Weight: 222g
    Height: 210mm
    Width: 148mm
    Spine width: 10mm

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