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Titolo: | Computer Vision, Imaging and Computer Graphics Theory and Applications : 14th International Joint Conference, VISIGRAPP 2019, Prague, Czech Republic, February 25–27, 2019, Revised Selected Papers / / edited by Ana Paula Cláudio, Kadi Bouatouch, Manuela Chessa, Alexis Paljic, Andreas Kerren, Christophe Hurter, Alain Tremeau, Giovanni Maria Farinella |
Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Edizione: | 1st ed. 2020. |
Descrizione fisica: | 1 online resource (XXIII, 612 p. 260 illus., 215 illus. in color.) |
Disciplina: | 006.37 |
Soggetto topico: | Optical data processing |
Machine learning | |
User interfaces (Computer systems) | |
Image Processing and Computer Vision | |
Machine Learning | |
User Interfaces and Human Computer Interaction | |
Persona (resp. second.): | CláudioAna Paula |
BouatouchKadi | |
ChessaManuela | |
PaljicAlexis | |
KerrenAndreas | |
HurterChristophe | |
TremeauAlain | |
FarinellaGiovanni Maria | |
Note generali: | Includes index. |
Nota di contenuto: | Computer Graphics Theory and Applications -- Human Computer Interaction Theory and Applications -- Information Visualization Theory and Applications -- Computer Vision Theory and Applications. |
Sommario/riassunto: | This book constitutes thoroughly revised and selected papers from the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2019, held in Prague, Czech Republic, in February 2019. The 25 thoroughly revised and extended papers presented in this volume were carefully reviewed and selected from 395 submissions. The papers contribute to the understanding of relevant trends of current research on computer graphics; human computer interaction; information visualization; computer vision. |
Titolo autorizzato: | Computer Vision, Imaging and Computer Graphics Theory and Applications |
ISBN: | 3-030-41590-2 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910380745703321 |
Lo trovi qui: | Univ. Federico II |
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