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Image and Vision Computing : 37th International Conference, IVCNZ 2022, Auckland, New Zealand, November 24–25, 2022, Revised Selected Papers / / edited by Wei Qi Yan, Minh Nguyen, Martin Stommel



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Titolo: Image and Vision Computing : 37th International Conference, IVCNZ 2022, Auckland, New Zealand, November 24–25, 2022, Revised Selected Papers / / edited by Wei Qi Yan, Minh Nguyen, Martin Stommel Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Edizione: 1st ed. 2023.
Descrizione fisica: 1 online resource (537 pages)
Disciplina: 006.37
621.367
Soggetto topico: Image processing - Digital techniques
Computer vision
Machine learning
Computer networks
Computer systems
Application software
Computer engineering
Computer Imaging, Vision, Pattern Recognition and Graphics
Machine Learning
Computer Communication Networks
Computer System Implementation
Computer and Information Systems Applications
Computer Engineering and Networks
Persona (resp. second.): StommelMartin
NguyễnMinh
YanWei Qi
Nota di contenuto: Convolutional neural networks -- Generative adversarial networks -- Vision transformers -- U-Nets -- YOLO -- Imaging sensors -- Segmentation -- Visual odometry -- Image reconstruction.
Sommario/riassunto: This book constitutes the proceedings of the 37th International Conference, IVCNZ 2022, which took place in Auckland, New Zealand, in November 2022. The 37 papers (14 accepted for long oral presentation, 23 for short oral presentation) included in this volume were carefully reviewed and selected from 79 submissions. The conference presents papers on all aspects of computer vision, image processing, computer graphics, virtual and augmented reality, visualization, and HCI applications related to these fields.
Titolo autorizzato: Image and vision computing  Visualizza cluster
ISBN: 9783031258251
3031258258
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910647773703321
Lo trovi qui: Univ. Federico II
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Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 13836