Scale Space and Variational Methods in Computer Vision: 8th International Conference, SSVM 2021, Virtual Event, May 16?20, 2021, Proceedings (Image . Vision, Pattern Recognition, and Graphics)

ISBN 10: 3030755487 ISBN 13: 9783030755485

Verlag: Springer, 2021

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This book constitutes the proceedings of the 8th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2021, which took place during May 16-20, 2021. The conference was planned to take place in Cabourg, France, but changed to an online format due to the COVID-19 pandemic.

The 45 papers included in this volume were carefully reviewed and selected from a total of 64 submissions. They were organized in topical sections named as follows: scale space and partial differential equations methods; flow, motion and registration; optimization theory and methods in imaging; machine learning in imaging; segmentation and labelling; restoration, reconstruction and interpolation; and inverse problems in imaging.

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Titel: Scale Space and Variational Methods in ...
Verlag: Springer
Erscheinungsdatum: 2021
Einband: Softcover
Zustand: New

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Scale Space and Variational Methods in Computer Vision | 8th International Conference, SSVM 2021, Virtual Event, May 16-20, 2021, Proceedings

Abderrahim Elmoataz (u. a.)

Verlag: Springer, 2021

ISBN 10: 3030755487 ISBN 13: 9783030755485

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Scale Space and Variational Methods in Computer Vision : 8th International Conference, SSVM 2021, Virtual Event, May 16�20, 2021, Proceedings

Abderrahim Elmoataz

Verlag: Springer International Publishing, 2021

ISBN 10: 3030755487 ISBN 13: 9783030755485

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of the 8th International Conference onScale Space and Variational Methods in Computer Vision, SSVM 2021, which took place during May 16-20, 2021. The conference was planned to take place in Cabourg, France, but changed to an online format due to the COVID-19 pandemic.The 45 papers included in this volume were carefully reviewed and selected from a total of 64 submissions. They were organized in topical sections named as follows: scale space and partial differential equations methods; flow, motion and registration; optimization theory and methods in imaging; machine learning in imaging; segmentation and labelling; restoration, reconstruction and interpolation; and inverse problems in imaging. Artikel-Nr. 9783030755485

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