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[null,null,"Titolo",null,"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"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"3-031-85187-0"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XVII, 367 p. 157 illus., 121 illus. in color.)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science, , 1611-3349 ; ; 15298"]
[null,null,"Disciplina",null,"006"]
[null,null,"Soggetti",null,"Image processing - Digital techniques"]
[{"$nulls":4},"Computer vision"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Computer systems"]
[{"$nulls":4},"Education - Data processing"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Computer Imaging, Vision, Pattern Recognition and Graphics"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Computer System Implementation"]
[{"$nulls":4},"Computers and Education"]
[{"$nulls":4},"Computer and Information Systems Applications"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"-- 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 "]
[{"$nulls":4},"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."]
[null,null,null,"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."]