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Deep Homography Estimation for Micro-Topographic Measurement Data
- Authors:
- Series:
- Berichte aus dem imr, Volume 01/2024
- Publisher:
- 22.03.2024
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Bibliographic data
- Publication year
- 2024
- Publication date
- 22.03.2024
- ISBN-Print
- 978-3-95900-922-5
- ISBN-Online
- 978-3-95900-922-5
- Publisher
- TEWISS, Garbsen
- Series
- Berichte aus dem imr
- Volume
- 01/2024
- Language
- German
- Pages
- 189
- Product type
- Book Titles
Table of contents
ChapterPages
- Titelei/Inhaltsverzeichnis No access Pages I - XX
- 1.1 Motivation No access
- 1.2 Related Work No access
- 1.3 Scientific Contribution No access
- 1.4 Structure of the Work No access
- 2.1 Surface Metrology No access
- 2.2 Image Registration No access
- 2.3 Machine Learning and Deep Learning No access
- 3.1 Measurement Systems No access
- 3.2 Data Acquisition and Micro-Topographies No access
- 4.1 Data Processing and Dataset Generation No access
- 4.2 Conventional Image Registration No access
- 4.3 Machine Learning-Based Image Registration No access
- 4.4 Experiments No access
- 5.1 Conventional Image Registration No access
- 5.2 Machine Learning-Based Image Registration No access
- 5.3 Coarse-to-Fine Image Registration No access
- 5.4 Computation Time No access
- 5.5 Generalizability No access
- 6.1 Conclusion No access
- 6.2 Outlook No access
- Bibliography No access Pages 147 - 170
- A. Samples No access
- B.1 Keyence VK-X210 No access
- B.2 Keyence VK-X3000 No access
- C.1 Preliminary Assessment of Feature Detector and Descriptor Combinations No access
- C.2 Experiment 3: Batch Size and Learning Rate No access
- Curriculum Vitae No access Pages 187 - 189





