Scale Space and Variational Methods in Computer Vision

7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 – July 4, 2019, Proceedings

Jan Lellmann, Martin Burger, Jan Modersitzki (Herausgeber)

Buch | Softcover

XVII, 574 Seiten

2019 | 1st ed. 2019
Springer International Publishing (Verlag)
978-3-030-22367-0 (ISBN)

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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.

Erscheinungsdatum	06.06.2019
Reihe/Serie	Image Processing, Computer Vision, Pattern Recognition, and Graphics
Reihe/Serie	Lecture Notes in Computer Science
Zusatzinfo	XVII, 574 p. 302 illus., 153 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	896 g
Themenwelt	Informatik ► Grafik / Design ► Digitale Bildverarbeitung
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Mathematik / Informatik ► Mathematik ► Analysis
Schlagworte	Applications • Artificial Intelligence • Computer Science • computer vision • conference proceedings • estimation • image coding • Image Compression • Image Processing • image reconstruction • Image Registration • Image Segmentation • Informatics • Inverse Problems • Motion Estimation • Neural networks • Numerical Experiments • Numerical Methods • optical flows • Partial differential equations • reconstruction • Regularization • Research • Signal Processing • variational methods
ISBN-10	3-030-22367-1 / 3030223671
ISBN-13	978-3-030-22367-0 / 9783030223670
Zustand	Neuware