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...

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Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Awdur Corfforaethol: SpringerLink (Online service)
Awduron Eraill: Cremers, Daniel (Golygydd), Lähner, Zorah (Golygydd), Moeller, Michael (Golygydd), Nießner, Matthias (Golygydd), Ommer, Björn (Golygydd), Triebel, Rudolph (Golygydd)
Fformat: Electronig eLyfr
Iaith:Saesneg
Cyhoeddwyd: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Rhifyn:1st ed. 2025.
Cyfres:Lecture Notes in Computer Science, 15298
Pynciau:
Mynediad Ar-lein:https://doi.org/10.1007/978-3-031-85187-2
Tagiau: Ychwanegu Tag
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!

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245 1 0 |a Pattern Recognition  |h [electronic resource] :  |b 46th DAGM German Conference, DAGM GCPR 2024, Munich, Germany, September 10–13, 2024, Proceedings, Part II /  |c edited by Daniel Cremers, Zorah Lähner, Michael Moeller, Matthias Nießner, Björn Ommer, Rudolph Triebel. 
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505 0 |a  -- Modelling of Faces and Shapes. -- 360° Volumetric Portrait Avatar. -- How Do You Perceive My Face? Recognizing Facial Expressions in Multi-Modal Context by Modeling Mental Representations. -- A Latent Implicit 3D Shape Model for Multiple Levels of Detail. -- Image Generation and Reconstruction. -- Coloring the Past: Neural Historical Monuments Reconstruction from Archival Photography. -- Expanding the Image Embedding Space for Language-Free Text-to-Face Image Generation. -- Towards synthetic generation of realistic wooden logs. -- 3D Analysis and Sythesis. -- G3DST: Generalizing 3D Style Transfer with Neural Radiance Fields across Scenes and Styles. -- LiFCal: Online Light Field Camera Calibration via Bundle Adjustment. -- CARLA Drone: Monocular 3D Object Detection from a Different Perspective. -- Robust 3D Gaussian Splatting for Novel View Synthesis in Presence of Distractors. -- DynaPix SLAM: A Pixel-Based Dynamic Visual SLAM Approach. -- Leveraging Image Matching Toward End-to-End Relative Camera Pose Regression. -- Erasing the Ephemeral: Joint Camera Refinement and Transient Object Removal for Street View Synthesis. -- Physically Plausible Object Pose Refinement in Cluttered Scenes. -- Gaussian Splatting in Style. -- Video Analysis. -- Bounding Boxes and Probabilistic Graphical Models: Video Anomaly Detection Simplified. -- STAR: Screen Time and Actor Recognition in Video Content. -- Photogrammetry and Remote Sensing. -- Exploring Seasonal Variability in the Context of Neural Radiance Fields for 3D Reconstruction on Satellite Imagery. -- Worldwide High-fidelity Road Extraction from Aerial and Satellite Imagery enabled by Low-fidelity OpenStreetMap Labels. -- SenPa-MAE: Sensor Parameter Aware Multi-Satellite Masked Autoencoder for Multispectral Earth Observation Imagery. -- PuzzleBoard: A new Camera Calibration Pattern with Position Encoding. -- Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation. 
520 |a 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. 
532 8 |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. 
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650 0 |a Image processing  |x Digital techniques. 
650 0 |a Computer vision. 
650 0 |a Artificial intelligence. 
650 0 |a Computer systems. 
650 0 |a Education  |x Data processing. 
650 0 |a Application software. 
650 1 4 |a Computer Imaging, Vision, Pattern Recognition and Graphics. 
650 2 4 |a Artificial Intelligence. 
650 2 4 |a Computer System Implementation. 
650 2 4 |a Computers and Education. 
650 2 4 |a Computer and Information Systems Applications. 
700 1 |a Cremers, Daniel.  |e editor.  |0 (orcid)0000-0002-3079-7984  |1 https://orcid.org/0000-0002-3079-7984  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
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