Pattern Recognition 46th DAGM German Conference, DAGM GCPR 2024, Munich, Germany, September 10-13, 2024, Proceedings, Part II

This 2-volume set LNCS 15297-15298 constitutes the refereed proceedings of the 46th Annual Conference of the German Association for Pattern Recognition, DAGM-GCPR 2024, held in Munich, Germany, during September 10-13, 2024.
The 44 full papers included in these proceedings were carefully reviewed and selected from 81 submissions. They are organized in these topical sections:
Part I: Clustering and Segmentation; Learning Techniques; Medical and Biological Applications; Uncertainty and Explainability.
Part II: Modelling of Faces and Shapes; Image Generation and Reconstruction; 3D Analysis and Sythesis; Video Analysis; Photogrammetry and Remote Sensing.

Riassunto

This 2-volume set LNCS 15297-15298 constitutes the refereed proceedings of the 46th Annual Conference of the German Association for Pattern Recognition, DAGM-GCPR 2024, held in Munich, Germany, during September 10-13, 2024.


The 44 full papers included in these proceedings were carefully reviewed and selected from 81 submissions. They are organized in these topical sections:


Part I: Clustering and Segmentation; Learning Techniques; Medical and Biological Applications; Uncertainty and Explainability.


Part II: Modelling of Faces and Shapes; Image Generation and Reconstruction; 3D Analysis and Sythesis; Video Analysis; Photogrammetry and Remote Sensing.

Dettagli sul prodotto

• Con la collaborazione di: Daniel Cremers (Editore), Zorah Lähner (Editore), Michael Moeller (Editore), Matthias Niessner (Editore), Björn Ommer (Editore), Rudolph Triebel (Editore), Michael Moeller et al (Editore)
• Editore: Springer, Berlin
• Contenuto: Libro
• Forma del prodotto: Tascabile
• Data pubblicazione: 31.03.2025
• Categoria: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Software applicativo
• EAN: 9783031851865
• ISBN: 978-3-0-3185186-5
• Numero di pagine: 367
• Illustrazioni: XVII, 367 p. 157 illus., 121 illus. in color.
• Dimensioni (della confezione): 15.5 x 2.1 x 23.5 cm
• Peso (della confezione): 587 g
• Serie: Lecture Notes in Computer Science
• Categorie: Künstliche Intelligenz, Lehrmittel, Lerntechnologien, E-Learning, Robotics, Artificial Intelligence, Deep Learning, angewandte informatik, Systemanalyse und -design, Information Retrieval, Computer Vision, Health Informatics, pattern recognition, Computer Imaging, Vision, Pattern Recognition and Graphics, Computer and Information Systems Applications, Computers and Education, Computer System Implementation, Mathematical optimization, Remote sensing, photogrammetry, knowledge representation and reasoning, machine learning algorithms, Shape Modeling, image compression, Robust Models, Neural Rendering, Spatial-temporal systems, Machine Learning Theory, Natural and Life Sciences