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题名/责任者:

Machine learning methods for reverse engineering of defective structured surfaces / Pascal Laube.

出版发行项:

Wiesbaden : Springer Vieweg, 2020.

ISBN:

9783658290160

载体形态项:

xiii, 160 pages : illustrations ; 22 cm.

丛编说明:

Schriftenreihe der Institute f眉r Systemdynamik (ISD) und Optische Systeme (IOS)

个人责任者:

Laube, Pascal, author.

论题主题:

Reverse engineering-Data processing.

论题主题:

Machine learning.

中图法分类号:

TB21

书目附注:

Includes bibliographical references and index.

摘要附注:

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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