Pascal Laube

Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces (eBook, PDF)

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer Fachmedien Wiesbaden
• Seitenzahl: 161
• Erscheinungstermin: 2. Januar 2020
• Englisch
• ISBN-13: 9783658290177
• Artikelnr.: 58488481

Autorenporträt

Pascal Laube's main research interest is the development of machine learning methods for CAD reverse engineering. He is currently developing self-driving cars for an international operating German enterprise in the field of mobility, automotive and industrial technology.

Inhaltsangabe

Machine Learning Methods for Parametrization in Curve and Surface Approximation.- Classification of Geometric Primitives in Point Clouds.- Image Inpainting for High-resolution Textures Using CNN Texture Synthesis.