Scale Space and Variational Methods in Computer Vision
7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 – July 4, 2019, Proceedings
Seiten
2019
|
1st ed. 2019
Springer International Publishing (Verlag)
978-3-030-22367-0 (ISBN)
Springer International Publishing (Verlag)
978-3-030-22367-0 (ISBN)
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 | 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 |
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