Scale Space and Variational Methods in Computer Vision [[electronic resource] ] : 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 – July 4, 2019, Proceedings / / edited by Jan Lellmann, Martin Burger, Jan Modersitzki

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
• Edizione: 1st ed. 2019.
• Descrizione fisica: 1 online resource (XVII, 574 p. 302 illus., 153 illus. in color.)
• Disciplina: 006.37
• Soggetto topico: Optical data processing; Numerical analysis; Computer science—Mathematics; Artificial intelligence; Image Processing and Computer Vision; Numeric Computing; Math Applications in Computer Science; Artificial Intelligence
• Persona (resp. second.): LellmannJan; BurgerMartin; ModersitzkiJan
• Note generali: Includes index.
• Sommario/riassunto: This book constitutes the proceedings of the 7th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2019, held in Hofgeismar, Germany, in June/July 2019. The 44 papers included in this volume were carefully reviewed and selected for inclusion in this book. They were organized in topical sections named: 3D vision and feature analysis; inpainting, interpolation and compression; inverse problems in imaging; optimization methods in imaging; PDEs and level-set methods; registration and reconstruction; scale-space methods; segmentation and labeling; and variational methods. .
• Titolo autorizzato: Scale Space and Variational Methods in Computer Vision
• ISBN: 3-030-22368-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996466299203316
• Lo trovi qui: Univ. di Salerno
• Serie: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 11603