Scale Space and Variational Methods in Computer Vision

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7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 – July 4,2019, Proceedings, Lecture Notes in Computer Science 11603 – Image Processing, Computer Vision, Pattern Recognition, and Graphics

ISBN: 3030223671
ISBN 13: 9783030223670
Herausgeber: Jan Lellmann/Martin Burger/Jan Modersitzki
Verlag: Springer Verlag GmbH
Umfang: xvii, 574 S., 149 s/w Illustr., 153 farbige Illustr., 574 p. 302 illus., 153 illus. in color.
Erscheinungsdatum: 05.06.2019
Auflage: 1/2019
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 7448870 Kategorie:

Beschreibung

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. 

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E-Mail: juergen.hartmann@springer.com

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