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Home > Computing and Information Technology > Computer science > Artificial intelligence > Pattern recognition > Pattern Recognition: 46th DAGM German Conference, DAGM GCPR 2024, Munich, Germany, September 10–13, 2024, Proceedings, Part II(15298 Lecture Notes in Computer Science)
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Pattern Recognition: 46th DAGM German Conference, DAGM GCPR 2024, Munich, Germany, September 10–13, 2024, Proceedings, Part II(15298 Lecture Notes in Computer Science)

Pattern Recognition: 46th DAGM German Conference, DAGM GCPR 2024, Munich, Germany, September 10–13, 2024, Proceedings, Part II(15298 Lecture Notes in Computer Science)


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About the Book

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.

Table of Contents:
.- 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.


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Product Details
  • ISBN-13: 9783031851865
  • Publisher: Springer International Publishing AG
  • Publisher Imprint: Springer International Publishing AG
  • Height: 235 mm
  • No of Pages: 367
  • Series Title: 15298 Lecture Notes in Computer Science
  • Width: 155 mm
  • ISBN-10: 3031851862
  • Publisher Date: 24 Apr 2025
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Sub Title: 46th DAGM German Conference, DAGM GCPR 2024, Munich, Germany, September 10–13, 2024, Proceedings, Part II


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Pattern Recognition: 46th DAGM German Conference, DAGM GCPR 2024, Munich, Germany, September 10–13, 2024, Proceedings, Part II(15298 Lecture Notes in Computer Science)
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Pattern Recognition: 46th DAGM German Conference, DAGM GCPR 2024, Munich, Germany, September 10–13, 2024, Proceedings, Part II(15298 Lecture Notes in Computer Science)
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