
Pattern Recognition
44th DAGM German Conference, DAGM GCPR 2022, Konstanz, Germany, September 27-30, 2022, Proceedings
Springer (Publisher)
Published on 24. September 2022
Book
Paperback/Softback
XIV, 608 pages
978-3-031-16787-4 (ISBN)
Description
This book constitutes the refereed proceedings of the 44th DAGM German Conference on Pattern Recognition, DAGM GCPR 2022, which was held during September 27 - 30, 2022.
The 37 papers presented in this volume were carefully reviewed and selected from 78 submissions. They were organized in topical sections as follows: machine learning methods; unsupervised, semi-supervised and transfer learning; interpretable machine learning; low-level vision and computational photography; motion, pose estimation and tracking; 3D vision and stereo; detection and recognition; language and vision; scene understanding; photogrammetry and remote sensing; pattern recognition in the life and natural sciences; systems and applications.
More details
Series
Edition
1st ed. 2022
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
11 s/w Abbildungen, 179 farbige Abbildungen
XIV, 608 p. 190 illus., 179 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 34 mm
Weight
931 gr
ISBN-13
978-3-031-16787-4 (9783031167874)
DOI
10.1007/978-3-031-16788-1
Schweitzer Classification
Other editions
Additional editions

Björn Andres | Florian Bernard | Daniel Cremers
Pattern Recognition
44th DAGM German Conference, DAGM GCPR 2022, Konstanz, Germany, September 27-30, 2022, Proceedings
E-Book
09/2022
Springer
€53.49
Available for download
Content
Machine Learning Methods.- Unsupervised, Semi-supervised and Transfer Learning.- Interpretable Machine Learning.- Low-level Vision and Computational Photography.- Motion, Pose Estimation and Tracking.- 3D Vision and Stereo.- Detection and Recognition.- Language and Vision.- Scene Understanding.- Photogrammetry and Remote Sensing.- Pattern Recognition in the Life and Natural Sciences.- Systems and Applications.