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 (eds.).

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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 (eds.).

9783030223687 (electronic book)
303022368X (electronic book)

Cham, Switzerland : Springer, 2019.

English

1 online resource (xvii, 574 pages) : illustrations

10.1007/978-3-030-22

TA1634 .S89 2019

006.37
006.6

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.

Includes author index.

Access limited to authorized users.

Lecture notes in computer science ; 11603.
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.

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