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| Link zu diesem Datensatz | https://d-nb.info/1376641429 |
| Titel | Computer Analysis of Images and Patterns : 21st International Conference, CAIP 2025, Las Palmas de Gran Canaria, Spain, September 22–25, 2025, Proceedings, Part I / edited by Modesto Castrillón-Santana, Carlos M. Travieso-González, Oscar Deniz Suarez, David Freire-Obregón, Daniel Hernández-Sosa, Javier Lorenzo-Navarro, Oliverio J. Santana |
| Person(en) |
Castrillón-Santana, Modesto (Herausgeber) Travieso-Gonzalez, Carlos (Herausgeber) Déniz, Oscar (Herausgeber) Freire-Obregón, David (Herausgeber) Hernández-Sosa, Daniel (Herausgeber) Lorenzo-Navarro, Javier (Herausgeber) Santana, Oliverio J. (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2026 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2026 |
| Umfang/Format | Online-Ressource, XVIII, 401 p. 130 illus., 121 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-032-04967-4 Printed edition:: ISBN: 978-3-032-04969-8 |
| Inhalt | PAR Contest 2025 -- An extended dataset and a baseline for pedestrian attribute recognition with advanced neural networks -- Leveraging Generalist VQA Models to improve Zero-Shot Pedestrian Attribute Recognition -- Multi-Task Pedestrian Attribute Classification Using ConvNeXt with Advanced Data Augmentation -- A Region-Aware Multi-Modal Framework for Pedestrian Attribute Recognition via CLIP and Graph Neural Networks -- Facial and Video Recognition -- Adapting to the Wild: From Human Face to Animal Face Recognition -- Enhanced Deep Learning DeepFake Detection Integrating Handcrafted Features -- Fast and Accurate 3D Face Reconstruction from Multiple Uncalibrated Images -- PAYMENT PENDING Seeing through Wearables: A Comprehensive Face Recognition Dataset from Body Worn Cameras -- SMSCI: Simultaneous Modeling of Social and Contextual Interactions for Multi Pedestrian Trajectory Prediction -- SPL-BEV: Soccer Player Localization and Birds-Eye-View Estimation -- CANpose: A Cross-Attention Framework for Human Pose Recognition -- RTFVE: Realtime Face Video Enhancement -- Image Segmentation -- Walk the Lines 2: Contour Tracking for Detailed Segmentation of Infrared Ships and Other Objects -- Dirichlet Process Mixture Model and Markov Random Field for PolSAR Image Segmentation -- Semantic Segmentation for Coastal Monitoring: Region Extraction and Overtopping Detection -- A Deep-Learning-Based Method for Real-Time Barcode Segmentation on Edge CPUs -- Edge-Aware Camouflaged Object Detection -- DVS-StereoInsect: An Event-based Stereo Dataset for Foreground-Background Insect Segmentation -- ColorEM-Net: Automated Segmentation of Structures in Large-Scale Electron Microscopy Using Element-Derived Ground Truth -- Object Detection and Applications -- LTBoost: Boosting Recall Uniformity in Long-Tailed Learning for Camera Trap Datasets -- Enhancing Agricultural Disease Diagnosis: YOLO-Based Detection of Root Rot in Beans -- Vision on the Move: Automated Hazardous Material Plate Detection in Freight Transport -- VIGIA-E: Density-Aware Patch Selection for Edge-Based Small Object Detection with PTZ Cameras -- Exploring Open-Vocabulary Models for Category-Free Detection -- Synthetic Data for Robust Runway Detection -- Identification of Buriti (Mauritia flexuosa) and Palmito Ju¸cara (Euterpe edulis) Species Using RT-DETR through High-Resolution Images Captured by UAV -- 3D Vision and Reconstruction -- Framework for Generation of Moment Invariants by Tensor Method -- HAME-NeRF: High Accuracy Mesh Extraction Leveraging Neural Radiance Fields -- FaDeN: Fast Depth-Supervised NeRFs with RGB-D Cameras -- AnthroFormer3D: Automating 3D Body Measurement Extraction via Vision Transformers Using a Novel Dataset -- Sphere-Depth: A Benchmark for Depth Estimation Methods with Varying Spherical Camera Orientations -- Image Valuation in NeRF-Based 3D Reconstruction -- VolE++: A Text-Guided Point-cloud Framework for Food 3D Reconstruction and Volume Estimation |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2509170407025.354892841494 DOI: 10.1007/978-3-032-04968-1 |
| URL | https://doi.org/10.1007/978-3-032-04968-1 |
| ISBN/Einband/Preis | 978-3-032-04968-1 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 15621 |
| DDC-Notation | 006.42 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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