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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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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 Visualizza cluster
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  Visualizza cluster
ISBN: 3-031-06427-5
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910568298603321
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Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 13231