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Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces (Paperback, 1st ed. 2020) Loot Price: R1,747
Discovery Miles 17 470
Repayment Terms: R164 pm x 12*
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Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces (Paperback, 1st ed. 2020): Pascal Laube

Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces (Paperback, 1st ed. 2020)

Pascal Laube

Series: Schriftenreihe der Institute fur Systemdynamik (ISD) und optische Systeme (IOS)

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Loot Price R1,747 Discovery Miles 17 470 | Repayment Terms: R164 pm x 12*

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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.

General

Imprint: Springer Vieweg
Country of origin: Germany
Series: Schriftenreihe der Institute fur Systemdynamik (ISD) und optische Systeme (IOS)
Release date: 2020
First published: 2020
Authors: Pascal Laube
Dimensions: 210 x 148mm (L x W)
Format: Paperback
Pages: 161
Edition: 1st ed. 2020
ISBN-13: 978-3-658-29016-0
Categories: Books > Professional & Technical > Technology: general issues > Technical design > Computer aided design (CAD)
Books > Professional & Technical > Mechanical engineering & materials > Production engineering > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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LSN: 3-658-29016-1
Barcode: 9783658290160

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