Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12544)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Included in the following conference series:
Conference proceedings info: DAGM GCPR 2020.
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About this book
This book constitutes the refereed proceedings of the 42nd German Conference on Pattern Recognition, DAGM GCPR 2020, which took place during September 28 until October 1, 2020. The conference was planned to take place in Tübingen, Germany, but had to change to an online format due to the COVID-19 pandemic.
The 34 papers presented in this volume were carefully reviewed and selected from a total of 89 submissions. They were organized in topical sections named: Normalizing Flow, Semantics, Physics, Camera Calibration and Computer Vision, Pattern Recognition, Machine Learning.
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Keywords
- biometrics
- communication systems
- computational photography
- computer networks
- computer systems
- computer vision
- correlation analysis
- databases
- education
- image analysis
- image processing
- image reconstruction
- machine learning
- neural networks
- object recognition
- pattern recognition
- photogrammetry
- remote sensing
- signal processing
Table of contents (34 papers)
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Front Matter
Editors and Affiliations
Bibliographic Information
Book Title: Pattern Recognition
Book Subtitle: 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28 – October 1, 2020, Proceedings
Editors: Zeynep Akata, Andreas Geiger, Torsten Sattler
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-71278-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-71277-8Published: 17 March 2021
eBook ISBN: 978-3-030-71278-5Published: 16 March 2021
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XV, 490
Number of Illustrations: 13 b/w illustrations
Topics: Pattern Recognition, Machine Learning, Data Structures and Information Theory, Information Systems Applications (incl. Internet), Mathematics of Computing