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| Titolo: |
Image Analysis and Processing – ICIAP 2022 : 21st International Conference, Lecce, Italy, May 23–27, 2022, Proceedings, Part I / / edited by Stan Sclaroff, Cosimo Distante, Marco Leo, Giovanni M. Farinella, Federico Tombari
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| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Edizione: | 1st ed. 2022. |
| Descrizione fisica: | 1 online resource (814 pages) |
| Disciplina: | 006.37 |
| Soggetto topico: | Computer vision |
| Application software | |
| Education - Data processing | |
| Social sciences - Data processing | |
| Machine learning | |
| Pattern recognition systems | |
| Computer Vision | |
| Computer and Information Systems Applications | |
| Computers and Education | |
| Computer Application in Social and Behavioral Sciences | |
| Machine Learning | |
| Automated Pattern Recognition | |
| Persona (resp. second.): | SclaroffStan |
| Nota di bibliografia: | Includes bibliographical references and index. |
| Nota di contenuto: | Brave New Ideas -- Biomedical and Assistive Technology -- Multimedia -- Deep Learning -- Image Processing for Cultural Heritage -- Robot Vision. |
| Sommario/riassunto: | The proceedings set LNCS 13231, 13232, and 13233 constitutes the refereed proceedings of the 21st International Conference on Image Analysis and Processing, ICIAP 2022, which was held during May 23-27, 2022, in Lecce, Italy, The 168 papers included in the proceedings were carefully reviewed and selected from 307 submissions. They deal with video analysis and understanding; pattern recognition and machine learning; deep learning; multi-view geometry and 3D computer vision; image analysis, detection and recognition; multimedia; biomedical and assistive technology; digital forensics and biometrics; image processing for cultural heritage; robot vision; etc. |
| Titolo autorizzato: | Image Analysis and Processing - ICIAP 2022 ![]() |
| ISBN: | 3-031-06427-5 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910568298603321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |