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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 (Paperback, 1st ed. 2019) Loot Price: R1,608

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Scale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30...

Scale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 - July 4, 2019, Proceedings (Paperback, 1st ed. 2019)

Jan Lellmann, Martin Burger, Jan Modersitzki

Series: Lecture Notes in Computer Science, 11603

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Loot Price R1,608 Discovery Miles 16 080 | Repayment Terms: R151 pm x 12*

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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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Lecture Notes in Computer Science, 11603
Release date:	June 2019
First published:	2019
Editors:	Jan Lellmann • Martin Burger • Jan Modersitzki
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	574
Edition:	1st ed. 2019
ISBN-13:	978-3-03-022367-0
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Computing & IT > Applications of computing > Image processing > General Promotions
LSN:	3-03-022367-1
Barcode:	9783030223670