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Scale Space and Variational Methods in Computer Vision

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About

Scale Space and Variational Methods in Computer Vision Synopsis

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

About This Edition

ISBN: 9783030755485
Publication date:
Author: Abderrahim Elmoataz
Publisher: Springer Nature Switzerland AG
Format: Paperback
Pagination: 580 pages
Series: Image Processing, Computer Vision, Pattern Recognition, and Graphics
Genres: Computer vision
Network hardware
Computer applications in the social and behavioural sciences
Machine learning
Maths for computer scientists
Pattern recognition

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