Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces
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 pr
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Pascal Laube
Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces
Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS) Editors-in-Chief Jürgen Freudenberger, Konstanz, Germany Johannes Reuter, Konstanz, Germany Matthias Franz, Konstanz, Germany Georg Umlauf, Konstanz, Germany
Die „Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS)“ deckt ein breites Themenspektrum ab: von angewandter Informatik bis zu Ingenieurswissenschaften. Die Institute für Systemdynamik und optische Systeme bilden gemeinsam einen Forschungsschwerpunkt der Hochschule Konstanz. Die Forschungsprogramme der beiden Institute umfassen informationsund regelungstechnische Fragestellungen sowie kognitive und bildgebende Systeme. Das Bindeglied ist dabei der Systemgedanke mit systemtechnischer Herangehensweise und damit verbunden die Suche nach Methoden zur Lösung interdisziplinärer, komplexer Probleme. In der Schriftenreihe werden Forschungsergebnisse in Form von Dissertationen veröffentlicht. The “Series of the institutes of System Dynamics (ISD) and Optical Systems (IOS)” covers a broad range of topics: from applied computer science to engineering. The institutes of System Dynamics and Optical Systems form a research focus of the HTWG Konstanz. The research programs of both institutes cover problems in information technology and control engineering as well as cognitive and imaging systems. The connective link is the system concept and the systems engineering approach, i.e. the search for methods and solutions of interdisciplinary, complex problems. The series publishes research results in the form of dissertations.
More information about this series at http://www.springer.com/series/16265
Pascal Laube
Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces
Pascal Laube Konstanz, Germany Dissertation Universität Konstanz, 2019, u.d.T.: Pascal Laube “Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces” This research has been partly funded by the Federal Ministry of Education and Research (BMBF) of Germany (pn 02P14A035).
ISSN 2661-8087 ISSN 2661-8095 (electronic) Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS) ISBN 978-3-658-29016-0 ISBN 978-3-658-29017-7 (eBook) https://doi.org/10.1007/978-3-658-29017-7 © Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of
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