Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces - Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS)
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Published By Springer Fachmedien Wiesbaden

9783658290160, 9783658290177

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Concluding Remarks & Outlook

Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces - Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS) ◽

10.1007/978-3-658-29017-7_6 ◽

2020 ◽

pp. 143-146

Author(s):

Pascal Laube

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CNN Texture Synthesis for High-Resolution Image Inpainting

Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces - Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS) ◽

10.1007/978-3-658-29017-7_5 ◽

2020 ◽

pp. 121-141

Author(s):

Pascal Laube

Keyword(s):

High Resolution ◽

Texture Synthesis ◽

Image Inpainting ◽

Resolution Image ◽

High Resolution Image

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Classification of Geometric Primitives in Point Clouds

Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces - Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS) ◽

10.1007/978-3-658-29017-7_4 ◽

2020 ◽

pp. 97-120

Author(s):

Pascal Laube

Keyword(s):

Point Clouds ◽

Geometric Primitives

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Introduction

Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces - Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS) ◽

10.1007/978-3-658-29017-7_1 ◽

2020 ◽

pp. 1-11

Author(s):

Pascal Laube

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Parametrization in Curve and Surface Approximation

Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces - Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS) ◽

10.1007/978-3-658-29017-7_3 ◽

2020 ◽

pp. 51-95

Author(s):

Pascal Laube

Keyword(s):

Surface Approximation

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Fundamentals

Machine Learning Methods for Reverse Engineering of Defective Structured Surfaces - Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS) ◽

10.1007/978-3-658-29017-7_2 ◽

2020 ◽

pp. 13-49

Author(s):

Pascal Laube

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