bokomslag Scale Space and Variational Methods in Computer Vision
Data & IT

Scale Space and Variational Methods in Computer Vision

Abderrahim Elmoataz Jalal Fadili Yvain Quau Julien Rabin Loc Simon

Pocket

759:-

Funktionen begränsas av dina webbläsarinställningar (t.ex. privat läge).

Uppskattad leveranstid 7-12 arbetsdagar

Fri frakt för medlemmar vid köp för minst 249:-

  • 580 sidor
  • 2021
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.
  • Författare: Abderrahim Elmoataz, Jalal Fadili, Yvain Quau, Julien Rabin, Loc Simon
  • Format: Pocket/Paperback
  • ISBN: 9783030755485
  • Språk: Engelska
  • Antal sidor: 580
  • Utgivningsdatum: 2021-04-30
  • Förlag: Springer Nature Switzerland AG