Scale Space and Variational Methods in Computer Vision 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 - July 4, 2019, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Lellmann, Jan (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Burger, Martin (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Modersitzki, Jan (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11603
• Θέματα: Optical data processing.; Numerical analysis.; Computer science-Mathematics.; Artificial intelligence.; Image Processing and Computer Vision.; Numeric Computing.; Math Applications in Computer Science.; Artificial Intelligence.
• Φυσική περιγραφή: XVII, 574 p. 302 illus., 153 illus. in color. online resource.
• ISBN: 9783030223687
• DOI: 10.1007/978-3-030-22368-7

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. .