Scale Space and Variational Methods in Computer Vision 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 – July 4, 2019, Proceedings /
Scale Space and Variational Methods in Computer Vision 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 – July 4, 2019, Proceedings / [electronic resource] :
edited by Jan Lellmann, Martin Burger, Jan Modersitzki.
- 1st ed. 2019.
- XVII, 574 p. 302 illus., 153 illus. in color. online resource.
- Image Processing, Computer Vision, Pattern Recognition, and Graphics, 11603 3004-9954 ; .
- Image Processing, Computer Vision, Pattern Recognition, and Graphics, 11603 .
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. .
9783030223687
10.1007/978-3-030-22368-7 doi
Computer vision.
Numerical analysis.
Computer science--Mathematics.
Artificial intelligence.
Computer Vision.
Numerical Analysis.
Mathematical Applications in Computer Science.
Artificial Intelligence.
TA1634
006.37
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. .
9783030223687
10.1007/978-3-030-22368-7 doi
Computer vision.
Numerical analysis.
Computer science--Mathematics.
Artificial intelligence.
Computer Vision.
Numerical Analysis.
Mathematical Applications in Computer Science.
Artificial Intelligence.
TA1634
006.37