Pattern Recognition

This volume, Pattern Recognition, compiles the proceedings from a key conference, showcasing essential research in various aspects of pattern recognition.

The volume titled Pattern Recognition presents the refereed proceedings from the 44th DAGM German Conference on Pattern Recognition, known as DAGM GCPR 2022. This significant event took place from September 27 to 30, 2022, and featured a collection of papers that showcase the latest advancements in the field. A total of 37 papers were meticulously reviewed and selected from a competitive pool of 78 submissions, highlighting the rigorous standards of the conference.

The selected papers are organized into several topical sections, covering a broad spectrum of subjects within pattern recognition. These include machine learning methods, unsupervised, semi-supervised, and transfer learning, as well as interpretable machine learning. The volume also addresses low-level vision and computational photography, motion and pose estimation, and tracking, along with 3D vision, stereo, detection, recognition, and the interplay between language and vision.

Additionally, the proceedings delve into scene understanding, photogrammetry, remote sensing, and the application of pattern recognition in life and natural sciences. The comprehensive nature of Pattern Recognition makes it a valuable resource for researchers and practitioners seeking to stay updated on the latest methodologies and applications in this rapidly evolving field.