UID:
almahu_9948173930802882
Format:
XVII, 574 p. 302 illus., 153 illus. in color.
,
online resource.
Edition:
1st ed. 2019.
ISBN:
9783030223687
Series Statement:
Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11603
Content:
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. .
In:
Springer eBooks
Additional Edition:
Printed edition: ISBN 9783030223670
Additional Edition:
Printed edition: ISBN 9783030223694
Language:
English
DOI:
10.1007/978-3-030-22368-7
URL:
https://doi.org/10.1007/978-3-030-22368-7