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Pattern Recognition : 46th DAGM German Conference, DAGM GCPR 2024, Munich, Germany, September 10–13, 2024, Proceedings, Part II / / edited by Daniel Cremers, Zorah Lähner, Michael Moeller, Matthias Nießner, Björn Ommer, Rudolph Triebel



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Titolo: Pattern Recognition : 46th DAGM German Conference, DAGM GCPR 2024, Munich, Germany, September 10–13, 2024, Proceedings, Part II / / edited by Daniel Cremers, Zorah Lähner, Michael Moeller, Matthias Nießner, Björn Ommer, Rudolph Triebel Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Edizione: 1st ed. 2025.
Descrizione fisica: 1 online resource (XVII, 367 p. 157 illus., 121 illus. in color.)
Disciplina: 006
Soggetto topico: Image processing - Digital techniques
Computer vision
Artificial intelligence
Computer systems
Education - Data processing
Application software
Computer Imaging, Vision, Pattern Recognition and Graphics
Artificial Intelligence
Computer System Implementation
Computers and Education
Computer and Information Systems Applications
Persona (resp. second.): CremersDaniel
LähnerZorah
MoellerMichael
NießnerMatthias
OmmerBjörn
TriebelRudolph
Nota di contenuto: -- 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.
Sommario/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.
Titolo autorizzato: Pattern Recognition  Visualizza cluster
ISBN: 3-031-85187-0
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996655267003316
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Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 15298