Andres / Bernard / Cremers Pattern Recognition

44th DAGM German Conference, DAGM GCPR 2022, Konstanz, Germany, September 27–30, 2022, Proceedings
1. Auflage 2022
ISBN: 978-3-031-16788-1
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 608 Seiten

Reihe: Lecture Notes in Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Andres, Björn

Bernard, Florian

Cremers, Daniel

Frintrop, Simone

Goldlücke, Bastian

Ihrke, Ivo

Inhaltsverzeichnis

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.